Triple
T19397969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribeca Enterprises |
E485241
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Jane Rosenthal |
—
|
NE NERFINISHED |
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: Jane Rosenthal | Statement: [Tribeca Enterprises, associatedWith, Jane Rosenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Rosenthal Context triple: [Tribeca Enterprises, associatedWith, Jane Rosenthal]
-
A.
Jane Rosenthal
chosen
Jane Rosenthal is an American film producer and co-founder of Tribeca Productions and the Tribeca Film Festival, known for her long-time collaboration with Robert De Niro on numerous high-profile films.
-
B.
Tatia Rosenthal
Tatia Rosenthal is an Israeli-born film director and animator best known for her stop-motion feature "9.99$" and her work in independent animation.
-
C.
Jane Weinzapfel
Jane Weinzapfel is an American architect recognized for her leadership in contemporary design and as a pioneering woman in the field.
-
D.
Ellen Rapoport
Ellen Rapoport is a television writer and producer best known for creating the comedy series "Minx."
-
E.
June Preisser
June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62574edd08190b5456108d5e3907e |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.