Triple
T4440845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Total Recall |
E95766
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Paul Verhoeven |
E329582
|
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: Paul Verhoeven | Statement: [Total Recall, director, Paul Verhoeven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Verhoeven Context triple: [Total Recall, director, Paul Verhoeven]
-
A.
Paul Verhoeven
chosen
Paul Verhoeven is a Dutch filmmaker known for his provocative, violent, and satirical films such as RoboCop, Total Recall, and Starship Troopers.
-
B.
Jan de Bont
Jan de Bont is a Dutch cinematographer and film director best known for shooting visually dynamic action films and directing hits like Speed and Twister.
-
C.
David Friedkin
David Friedkin was an American screenwriter, director, and producer known for his work in mid-20th-century film and television.
-
D.
William Friedkin
William Friedkin was an influential American filmmaker best known for directing the landmark 1970s films "The French Connection" and "The Exorcist," which helped define the gritty, auteur-driven era of New Hollywood cinema.
-
E.
Luc Besson
Luc Besson is a French film director, screenwriter, and producer known for visually stylish, action-driven movies such as "Léon: The Professional," "The Fifth Element," and "Lucy."
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ac05e081908411089c05fc36bd |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61380fca08190bf036a7d82cee0e7 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:32 p.m.