Triple
T995353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaws 2 |
E21482
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Mike Brody |
E151434
|
NE FINISHED |
How this triple was built (2 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: Mike Brody | Statement: [Jaws 2, mainCharacter, Mike Brody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Brody Context triple: [Jaws 2, mainCharacter, Mike Brody]
-
A.
Sean Brody
chosen
Sean Brody is a fictional character from the "Jaws" film series, known as the younger son of police chief Martin Brody.
-
B.
Eric Mangini
Eric Mangini is an American football coach best known for serving as head coach of the New York Jets and Cleveland Browns in the NFL.
-
C.
Jim Fregosi
Jim Fregosi was an American Major League Baseball shortstop and manager, best known for his All-Star playing career with the Los Angeles/California Angels and later managing teams such as the Philadelphia Phillies.
-
D.
Mike Gartner
Mike Gartner is a Canadian Hall of Fame right winger renowned as one of the NHL’s most prolific goal scorers, surpassing 700 career goals over a 19-season career.
-
E.
Joseph Buloff
Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c75de88190bf7fec7a053f7a90 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad013e770c8190a97a67d546da341a |
completed | March 8, 2026, 4:55 a.m. |
Created at: March 1, 2026, 7:41 p.m.