Triple
T13076256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Eszterhas |
E329583
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Eszterhas | Statement: [Joe Eszterhas, familyName, Eszterhas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eszterhas Context triple: [Joe Eszterhas, familyName, Eszterhas]
-
A.
Zsigmond
Zsigmond is a Hungarian surname most notably borne by the acclaimed cinematographer Vilmos Zsigmond.
-
B.
Kupferhammer
Kupferhammer is a locality within the town of Eberswalde in the state of Brandenburg, Germany.
-
C.
Joe Eszterhas
chosen
Joe Eszterhas is a Hungarian-American screenwriter best known for his provocative, high-profile Hollywood thrillers of the late 20th century.
-
D.
Sutivan
Sutivan is a small coastal town and tourist resort on the northwest coast of the Croatian island of Brač in the Adriatic Sea.
-
E.
Nicolas de Toth
Nicolas de Toth is a film editor best known for his work on major Hollywood action movies, including Terminator 3: Rise of the Machines.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98117209081908272021013df2222 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d608a2288190bf07023a5303f887 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9:01 p.m.