Triple
T2516916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Meyerowitz Stories |
E55432
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lila Yacoub |
E269517
|
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: Lila Yacoub | Statement: [The Meyerowitz Stories, producer, Lila Yacoub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lila Yacoub Context triple: [The Meyerowitz Stories, producer, Lila Yacoub]
-
A.
Lila Yacoub
chosen
Lila Yacoub is a film producer known for her work on independent features such as Noah Baumbach’s comedy-drama "Mistress America."
-
B.
Lara Alameddine
Lara Alameddine is a film producer known for her work on the financial thriller "Money Monster."
-
C.
Aida El-Kachef
Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
-
D.
Nelly Malek
Nelly Malek is best known as the mother of Academy Award–winning actor Rami Malek.
-
E.
Katherine Sarafian
Katherine Sarafian is an American film producer best known for her work at Pixar Animation Studios, including producing the Academy Award–winning feature "Brave."
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20f8d0c8190bfdcb99a12f59d59 |
completed | March 7, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5cec74ac819093529ce5843ca320 |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:46 p.m.