Triple
T4696721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Little (film score) |
E104161
|
entity |
| Predicate | associatedWithDirector |
P19638
|
FINISHED |
| Object | Rob Minkoff |
E177818
|
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: Rob Minkoff | Statement: [Stuart Little (film score), associatedWithDirector, Rob Minkoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Minkoff Context triple: [Stuart Little (film score), associatedWithDirector, Rob Minkoff]
-
A.
Rob Minkoff
chosen
Rob Minkoff is an American film director best known for co-directing Disney’s animated classic "The Lion King" and later directing family films such as "Stuart Little."
-
B.
Stephen Rubin
Stephen Rubin is a film producer best known for his work on the drama film "The Deep End of the Ocean."
-
C.
Mike Jost
Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
-
D.
Charles Roven
Charles Roven is an American film producer known for his work on major Hollywood blockbusters, including Christopher Nolan’s films such as Oppenheimer and The Dark Knight trilogy.
-
E.
Michael Seitzman
Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63b2eb708190962f460063615f9a |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39dd7d9c8190912044c8616cf8a0 |
completed | March 21, 2026, 6:25 a.m. |
Created at: March 20, 2026, 1:17 p.m.