Triple
T11678486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia (1977 film) |
E277553
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Richard Roth |
E850865
|
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: Richard Roth | Statement: [Julia (1977 film), producer, Richard Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Roth Context triple: [Julia (1977 film), producer, Richard Roth]
-
A.
Richard Roth
chosen
Richard Roth is an American film producer best known for his work on influential movies such as David Lynch's neo-noir classic "Blue Velvet."
-
B.
Richard Roth Sr.
Richard Roth Sr. was an American architect and member of the prominent Roth family of architects, known for continuing the architectural legacy established by his father Emery Roth.
-
C.
Richard Rochberg
Richard Rochberg is an American mathematician known for his contributions to harmonic analysis and operator theory.
-
D.
William Perlberg
William Perlberg was a prominent American film producer active during Hollywood's studio era, known for overseeing a range of successful comedies and dramas.
-
E.
Richard Rohrer
Richard Rohrer is known primarily as the husband of American physician and Green Party politician Jill Stein.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a46000a48190888ad1a6ade052e3 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef82f515408190b21f1c7b207a2f0d |
completed | April 27, 2026, 3:38 p.m. |
Created at: April 8, 2026, 9:40 p.m.