Triple
T10477768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blade (1998 film) |
E247089
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Robert Engelman |
E530522
|
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: Robert Engelman | Statement: [Blade (1998 film), producer, Robert Engelman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Engelman Context triple: [Blade (1998 film), producer, Robert Engelman]
-
A.
Robert Engelman
chosen
Robert Engelman is a film producer known for his work on major Hollywood genre films, including action, science fiction, and fantasy projects.
-
B.
Bob Engelman
Bob Engelman is a film producer best known for working on major Hollywood movies, including the hit comedy "The Mask."
-
C.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
-
D.
Richard Sokolove
Richard Sokolove is a screenwriter best known for his work on the historical drama film "Anne of the Thousand Days."
-
E.
Jeffrey Auerbach
Jeffrey Auerbach is a film producer best known for his work on the stop-motion animated feature "Corpse Bride."
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509596a088190895199648ccf91a4 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d2d717888190b7e455d006d01033 |
completed | April 20, 2026, 7:16 a.m. |
Created at: April 6, 2026, 12:21 p.m.