Triple
T946091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Brody |
E20415
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Michael Brody
Michael Brody is a fictional character from the "Jaws" film series, known as the elder son of police chief Martin Brody who later becomes central to the franchise’s shark-related events.
|
E132342
|
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: Michael Brody | Statement: [Martin Brody, child, Michael Brody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Brody Context triple: [Martin Brody, child, Michael Brody]
-
A.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
B.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
C.
Joshua Michael Stern
Joshua Michael Stern is an American film director and screenwriter known for helming biographical and dramatic feature films.
-
D.
Nathan Grossman
Nathan Grossman is a Swedish documentary filmmaker best known for directing the climate activist portrait film "I Am Greta."
-
E.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
- 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: Michael Brody Triple: [Martin Brody, child, Michael Brody]
Generated description
Michael Brody is a fictional character from the "Jaws" film series, known as the elder son of police chief Martin Brody who later becomes central to the franchise’s shark-related events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Brody Target entity description: Michael Brody is a fictional character from the "Jaws" film series, known as the elder son of police chief Martin Brody who later becomes central to the franchise’s shark-related events.
-
A.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
B.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
C.
Joshua Michael Stern
Joshua Michael Stern is an American film director and screenwriter known for helming biographical and dramatic feature films.
-
D.
Nathan Grossman
Nathan Grossman is a Swedish documentary filmmaker best known for directing the climate activist portrait film "I Am Greta."
-
E.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a61b648190b1b6c932e047e161 |
completed | March 1, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5e9b74e481908c7d8256bd180d73 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f9a8a648190b2e677db032be07c |
completed | March 7, 2026, 5:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5feabffc819082f5d28f9628558f |
completed | March 7, 2026, 5:27 p.m. |
Created at: March 1, 2026, 7:40 p.m.