Triple
T15682003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael O’Keefe |
E377599
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object |
Ben Meechum
Ben Meechum is the young protagonist of Pat Conroy’s novel and its film adaptation "The Great Santini," the son of a domineering Marine fighter pilot.
|
E1171499
|
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: Ben Meechum | Statement: [Michael O’Keefe, hasRole, Ben Meechum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Meechum Context triple: [Michael O’Keefe, hasRole, Ben Meechum]
-
A.
Michael Baldwin
Michael Baldwin is a prominent fictional attorney and long-running character on the soap opera "The Young and the Restless."
-
B.
Willis Bouchey
Willis Bouchey was an American character actor known for his prolific work in mid-20th-century film and television, often appearing in Westerns and dramas.
-
C.
Morry Hollowell
Morry Hollowell is a comic book colorist best known for his work on major Marvel titles, including the "Civil War" crossover event.
-
D.
Sam Maydew
Sam Maydew is a film and television producer and talent manager known for his work on projects like the reality series "Candidly Nicole."
-
E.
Robbi Morgan
Robbi Morgan is an American actress best known for her role in the classic 1980 slasher film "Friday the 13th."
- 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: Ben Meechum Triple: [Michael O’Keefe, hasRole, Ben Meechum]
Generated description
Ben Meechum is the young protagonist of Pat Conroy’s novel and its film adaptation "The Great Santini," the son of a domineering Marine fighter pilot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Meechum Target entity description: Ben Meechum is the young protagonist of Pat Conroy’s novel and its film adaptation "The Great Santini," the son of a domineering Marine fighter pilot.
-
A.
Michael Baldwin
Michael Baldwin is a prominent fictional attorney and long-running character on the soap opera "The Young and the Restless."
-
B.
Willis Bouchey
Willis Bouchey was an American character actor known for his prolific work in mid-20th-century film and television, often appearing in Westerns and dramas.
-
C.
Morry Hollowell
Morry Hollowell is a comic book colorist best known for his work on major Marvel titles, including the "Civil War" crossover event.
-
D.
Sam Maydew
Sam Maydew is a film and television producer and talent manager known for his work on projects like the reality series "Candidly Nicole."
-
E.
Robbi Morgan
Robbi Morgan is an American actress best known for her role in the classic 1980 slasher film "Friday the 13th."
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee2a33c81908fcd120ca670b309 |
completed | May 9, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69ff6fd9c968819098b2552a9deb0445 |
completed | May 9, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff708d42448190a53b90e00721eaa5 |
completed | May 9, 2026, 5:36 p.m. |
Created at: April 10, 2026, 4:16 a.m.