Triple
T12807231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Rapaport |
E306175
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | June Brody |
E566950
|
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: June Brody | Statement: [Michael Rapaport, hasRelative, June Brody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: June Brody Context triple: [Michael Rapaport, hasRelative, June Brody]
-
A.
Carla Brody
Carla Brody is a fictional character from the "Jaws" film series, known as the wife of police chief Martin Brody and mother of Michael and Sean Brody.
-
B.
Thea Brody
chosen
Thea Brody is a member of the Brody family, known primarily in relation to Michael Brody.
-
C.
Beth Broderick
Beth Broderick is an American actress best known for playing Aunt Zelda on the television series "Sabrina the Teenage Witch."
-
D.
Rosanna Arquette
Rosanna Arquette is an American actress and filmmaker known for her roles in films such as "Desperately Seeking Susan" and "Pulp Fiction."
-
E.
Grace Van Patten
Grace Van Patten is an American actress known for her nuanced performances in independent films and television series, including notable roles in projects like "The Meyerowitz Stories" and "Nine Perfect Strangers."
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e808130819080f404b3a7462c2e |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ec6556081909375fada79ddcb8c |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:31 p.m.