Triple
T5520086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Liron Bratman |
E144781
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Jordan Bratman |
E144781
|
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: Jordan Bratman | Statement: [Max Liron Bratman, parent, Jordan Bratman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jordan Bratman Context triple: [Max Liron Bratman, parent, Jordan Bratman]
-
A.
Jordan Bratman
chosen
Jordan Bratman is an American music executive and producer best known for his work in the recording industry and his former marriage to pop singer Christina Aguilera.
-
B.
Max Liron Bratman
Max Liron Bratman is the son of music executive Jordan Bratman and pop singer Christina Aguilera.
-
C.
Jeremy Adelman
Jeremy Adelman is a composer best known for creating music for television, including the series "Hart of Dixie."
-
D.
Jordan Kandell
Jordan Kandell is a screenwriter best known for co-writing Disney’s animated feature film "Moana."
-
E.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f7082ac8190a372fa75e8dec6a4 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d5de3508190a4c1f1d5b19a9bd6 |
completed | March 22, 2026, 11:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.