Triple
T37128736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isla Fisher as Tooth Fairy |
E919457
|
entity |
| Predicate | filmProducersInclude |
P187645
|
FINISHED |
| Object | Christina Steinberg |
—
|
NE NERFINISHED |
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: Christina Steinberg | Statement: [Isla Fisher as Tooth Fairy, filmProducersInclude, Christina Steinberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmProducersInclude Context triple: [Isla Fisher as Tooth Fairy, filmProducersInclude, Christina Steinberg]
-
A.
filmProducerOfSequence
Indicates that a person or entity served as the producer for a specific sequence within a film.
-
B.
associatedWithProducerOfFilm
Indicates that one entity has an association or connection with the producer of a particular film.
-
C.
directorOfWorkFeaturingSubject
Indicates that the subject is the director of a creative work in which another specified entity appears or is featured.
-
D.
leadActorAlsoProducer
Indicates that the person who plays the lead acting role in a production also serves as a producer for that same production.
-
E.
directorsOfFilm
Indicates the person or people who directed a given film.
- F. None of above. chosen
Provenance (4 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb78c982ac8190846efe8f6209e5d1 |
completed | May 6, 2026, 5:22 p.m. |
Created at: May 3, 2026, 4:15 p.m.