Triple
T35064136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally's Song |
E1011680
|
entity |
| Predicate | producerOfSourceFilm |
P197998
|
FINISHED |
| Object | Tim Burton |
—
|
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: Tim Burton | Statement: [Sally's Song, producerOfSourceFilm, Tim Burton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producerOfSourceFilm Context triple: [Sally's Song, producerOfSourceFilm, Tim Burton]
-
A.
producerOfRelatedFilm
Indicates that an entity served as the producer of a film that is related (e.g., sequel, prequel, remake, or otherwise connected) to another specified film.
-
B.
filmProducersInclude
Indicates that the set of producers associated with a film includes a particular producer or group of producers.
-
C.
producerOfPremiere
Indicates that an entity served as the producer responsible for the premiere of a work or event.
-
D.
filmProducerOfSequence
Indicates that a person or entity served as the producer for a specific sequence within a film.
-
E.
associatedWithProducerOfFilm
Indicates that one entity has an association or connection with the producer of a particular 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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
| PDg | Predicate description generation | batch_69fec00e5c1c819083d174bb4bc35f29 |
completed | May 9, 2026, 5:03 a.m. |
Created at: May 3, 2026, 4:01 p.m.