Triple
T2831700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rambo III |
E62251
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Andrew G. Vajna |
E248416
|
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: Andrew G. Vajna | Statement: [Rambo III, producer, Andrew G. Vajna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew G. Vajna Context triple: [Rambo III, producer, Andrew G. Vajna]
-
A.
Andrew G. Vajna
chosen
Andrew G. Vajna was a Hungarian-American film producer best known for backing major action franchises such as the Rambo and Terminator series.
-
B.
Michael P. Brenner
Michael P. Brenner is an American applied mathematician and physicist known for his influential work in fluid dynamics and complex systems.
-
C.
Daniel W. Herzog
Daniel W. Herzog is an American Anglican bishop best known for serving as the Bishop of the Episcopal Diocese of Albany in New York.
-
D.
Peter E. Haas
Peter E. Haas was an American businessman and philanthropist best known for his leadership role at Levi Strauss & Co. and his prominent involvement in civic and charitable causes in San Francisco.
-
E.
Daniel L. Fapp
Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebe95188190bf65fb4cd88e2ec5 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503cf9f8881908dc371d5acb952cf |
completed | March 14, 2026, 6:44 a.m. |
Created at: March 6, 2026, 10:01 p.m.