Triple
T10314147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Winfield |
E241970
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object |
Lieutenant Ed Traxler in The Terminator
Lieutenant Ed Traxler in *The Terminator* is a seasoned, skeptical Los Angeles police detective who becomes entangled in protecting Sarah Connor from a relentless cyborg assassin.
|
E855824
|
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 Ed Traxler in The Terminator | Statement: [Paul Winfield, role, Lieutenant Ed Traxler in The Terminator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lieutenant Ed Traxler in The Terminator Context triple: [Paul Winfield, role, Lieutenant Ed Traxler in The Terminator]
-
A.
Lieutenant Jean Rasczak in Starship Troopers
Lieutenant Jean Rasczak is a hardened, one-armed veteran and charismatic teacher-turned-mobile infantry commander who mentors Johnny Rico and embodies the film’s militaristic ethos in Starship Troopers.
-
B.
Snake Plissken
Snake Plissken is a hardened, one-eyed antihero and former Special Forces soldier turned outlaw from John Carpenter’s dystopian action films "Escape from New York" and "Escape from L.A."
-
C.
Alex Murphy / RoboCop
Alex Murphy, better known as RoboCop, is a cyborg law enforcement officer from the science fiction film series who embodies themes of identity, justice, and the fusion of man and machine.
-
D.
Richard Crenna as Colonel Sam Trautman
Richard Crenna as Colonel Sam Trautman is the stern yet paternal U.S. Army colonel who serves as John Rambo’s former commanding officer and moral counterpoint in the Rambo film series.
-
E.
Master Sergeant Farell in Edge of Tomorrow
Master Sergeant Farell in Edge of Tomorrow is a tough, sardonic U.S. Army NCO who oversees the misfit combat squad into which Tom Cruise’s character is thrust in the film’s alien-invasion time-loop scenario.
- 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 Ed Traxler in The Terminator Triple: [Paul Winfield, role, Lieutenant Ed Traxler in The Terminator]
Generated description
Lieutenant Ed Traxler in *The Terminator* is a seasoned, skeptical Los Angeles police detective who becomes entangled in protecting Sarah Connor from a relentless cyborg assassin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lieutenant Ed Traxler in The Terminator Target entity description: Lieutenant Ed Traxler in *The Terminator* is a seasoned, skeptical Los Angeles police detective who becomes entangled in protecting Sarah Connor from a relentless cyborg assassin.
-
A.
Lieutenant Jean Rasczak in Starship Troopers
Lieutenant Jean Rasczak is a hardened, one-armed veteran and charismatic teacher-turned-mobile infantry commander who mentors Johnny Rico and embodies the film’s militaristic ethos in Starship Troopers.
-
B.
Snake Plissken
Snake Plissken is a hardened, one-eyed antihero and former Special Forces soldier turned outlaw from John Carpenter’s dystopian action films "Escape from New York" and "Escape from L.A."
-
C.
Alex Murphy / RoboCop
Alex Murphy, better known as RoboCop, is a cyborg law enforcement officer from the science fiction film series who embodies themes of identity, justice, and the fusion of man and machine.
-
D.
Richard Crenna as Colonel Sam Trautman
Richard Crenna as Colonel Sam Trautman is the stern yet paternal U.S. Army colonel who serves as John Rambo’s former commanding officer and moral counterpoint in the Rambo film series.
-
E.
Master Sergeant Farell in Edge of Tomorrow
Master Sergeant Farell in Edge of Tomorrow is a tough, sardonic U.S. Army NCO who oversees the misfit combat squad into which Tom Cruise’s character is thrust in the film’s alien-invasion time-loop scenario.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d35b7c688190b68613f28b5511bc |
completed | April 7, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d86c7e481908a0d5e65f66ab2c0 |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d73186831481909555e2205d8783a7 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d732bfc76c819089287477b54a7b77 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:48 a.m.