Triple
T11760652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sergeant |
E279645
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Dennis Murphy
Dennis Murphy was a screenwriter known for his work on the film "The Sergeant."
|
E993756
|
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: Dennis Murphy | Statement: [The Sergeant, screenwriter, Dennis Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennis Murphy Context triple: [The Sergeant, screenwriter, Dennis Murphy]
-
A.
Dennis Murphy
Dennis Murphy was an American sports entrepreneur best known for co-founding several upstart professional leagues, including the American Basketball Association.
-
B.
Dennis Murphy
Dennis Murphy is an American television journalist best known as a longtime correspondent and host for NBC's newsmagazine program Dateline NBC.
-
C.
Dennis McNulty
Dennis McNulty is a designer known for his work on the wooden roller coaster Shivering Timbers.
-
D.
Don Murphy
Don Murphy is an American film producer best known for helping launch and produce the live-action Transformers film franchise.
-
E.
Donald Malarkey
Donald Malarkey was a real-life U.S. Army paratrooper of Easy Company, 506th Parachute Infantry Regiment, whose World War II service was famously depicted in the miniseries "Band of Brothers."
- 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: Dennis Murphy Triple: [The Sergeant, screenwriter, Dennis Murphy]
Generated description
Dennis Murphy was a screenwriter known for his work on the film "The Sergeant."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dennis Murphy Target entity description: Dennis Murphy was a screenwriter known for his work on the film "The Sergeant."
-
A.
Dennis Murphy
Dennis Murphy was an American sports entrepreneur best known for co-founding several upstart professional leagues, including the American Basketball Association.
-
B.
Dennis Murphy
Dennis Murphy is an American television journalist best known as a longtime correspondent and host for NBC's newsmagazine program Dateline NBC.
-
C.
Dennis McNulty
Dennis McNulty is a designer known for his work on the wooden roller coaster Shivering Timbers.
-
D.
Don Murphy
Don Murphy is an American film producer best known for helping launch and produce the live-action Transformers film franchise.
-
E.
Donald Malarkey
Donald Malarkey was a real-life U.S. Army paratrooper of Easy Company, 506th Parachute Infantry Regiment, whose World War II service was famously depicted in the miniseries "Band of Brothers."
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65e92f1808190a338d8406d651611 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f65fd6fa8c819094a31f8c2d8ee72d |
completed | May 2, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f663fe2fac8190bb70c8f1b919d657 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 8, 2026, 9:41 p.m.