Triple
T10751176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jade |
E253574
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Joe Eszterhas |
E329583
|
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: Joe Eszterhas | Statement: [Jade, screenwriter, Joe Eszterhas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Eszterhas Context triple: [Jade, screenwriter, Joe Eszterhas]
-
A.
Joe Eszterhas
chosen
Joe Eszterhas is a Hungarian-American screenwriter best known for his provocative, high-profile Hollywood thrillers of the late 20th century.
-
B.
Gene Corman
Gene Corman was an American film producer and talent agent known for his work in low-budget genre films and for collaborating with major studios on commercially successful projects.
-
C.
Peter Hyams
Peter Hyams is an American filmmaker known for directing and often writing and shooting genre films such as science fiction thrillers and action movies.
-
D.
Jon Spaihts
Jon Spaihts is an American screenwriter and producer best known for his work on major science fiction and blockbuster films such as "Prometheus," "Doctor Strange," and "Dune."
-
E.
Gil Cates
Gil Cates was an American film, television, and theater producer and director best known for his multiple stints producing the Academy Awards telecasts.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc0ad188190b747bf9d10cf5de5 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de23292f8c8190a52c94c03e7d476d |
completed | April 14, 2026, 11:21 a.m. |
Created at: April 8, 2026, 9:15 p.m.