Triple
T1636988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forrest Gump |
E35378
|
entity |
| Predicate | characterPortrayedBy |
P1507
|
FINISHED |
| Object |
Lieutenant Dan Taylor – Gary Sinise
Lieutenant Dan Taylor, portrayed by Gary Sinise, is a Vietnam War veteran and Forrest Gump’s platoon leader whose journey from bitterness and despair to acceptance and purpose forms one of the film’s most memorable emotional arcs.
|
E183537
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lieutenant Dan Taylor – Gary Sinise | Statement: [Forrest Gump, characterPortrayedBy, Lieutenant Dan Taylor – Gary Sinise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lieutenant Dan Taylor – Gary Sinise Context triple: [Forrest Gump, characterPortrayedBy, Lieutenant Dan Taylor – Gary Sinise]
-
A.
Corporal Henderson in Saving Private Ryan
Corporal Henderson is a minor U.S. Army soldier character in the World War II film "Saving Private Ryan," portrayed by actor Max Martini.
-
B.
Gunnery Sergeant Emil Foley in An Officer and a Gentleman
Gunnery Sergeant Emil Foley in *An Officer and a Gentleman* is the tough, uncompromising Marine drill instructor who rigorously trains and ultimately mentors the film’s protagonist, Zack Mayo.
-
C.
Fred Ward as John Anglin
Fred Ward as John Anglin is the actor’s portrayal of one of the real-life inmate escapees in the 1979 prison drama film "Escape from Alcatraz."
-
D.
Fletcher Marron in The Bodyguard
Fletcher Marron in *The Bodyguard* is the young son of pop star Rachel Marron, whose safety becomes a key concern for the titular bodyguard in the 1992 romantic thriller film.
-
E.
Mack Gerhardt in The Unit
Mack Gerhardt in *The Unit* is a tough, battle-hardened member of an elite U.S. Army special operations team, known for his loyalty, combat skills, and personal struggles balancing military duty with family life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lieutenant Dan Taylor – Gary Sinise Triple: [Forrest Gump, characterPortrayedBy, Lieutenant Dan Taylor – Gary Sinise]
Generated description
Lieutenant Dan Taylor, portrayed by Gary Sinise, is a Vietnam War veteran and Forrest Gump’s platoon leader whose journey from bitterness and despair to acceptance and purpose forms one of the film’s most memorable emotional arcs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lieutenant Dan Taylor – Gary Sinise Target entity description: Lieutenant Dan Taylor, portrayed by Gary Sinise, is a Vietnam War veteran and Forrest Gump’s platoon leader whose journey from bitterness and despair to acceptance and purpose forms one of the film’s most memorable emotional arcs.
-
A.
Corporal Henderson in Saving Private Ryan
Corporal Henderson is a minor U.S. Army soldier character in the World War II film "Saving Private Ryan," portrayed by actor Max Martini.
-
B.
Gunnery Sergeant Emil Foley in An Officer and a Gentleman
Gunnery Sergeant Emil Foley in *An Officer and a Gentleman* is the tough, uncompromising Marine drill instructor who rigorously trains and ultimately mentors the film’s protagonist, Zack Mayo.
-
C.
Fred Ward as John Anglin
Fred Ward as John Anglin is the actor’s portrayal of one of the real-life inmate escapees in the 1979 prison drama film "Escape from Alcatraz."
-
D.
Fletcher Marron in The Bodyguard
Fletcher Marron in *The Bodyguard* is the young son of pop star Rachel Marron, whose safety becomes a key concern for the titular bodyguard in the 1992 romantic thriller film.
-
E.
Mack Gerhardt in The Unit
Mack Gerhardt in *The Unit* is a tough, battle-hardened member of an elite U.S. Army special operations team, known for his loyalty, combat skills, and personal struggles balancing military duty with family life.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a192d588190bbfa4693ed787c05 |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58ddfdbc819096578412818fdfbf |
completed | March 8, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ad595841788190a97bbfded30110c5 |
completed | March 8, 2026, 11:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad59f329cc8190814de211fb00c7b8 |
completed | March 8, 2026, 11:13 a.m. |
Created at: March 4, 2026, 7:28 p.m.