Triple
T30206827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whatever Will Be, Will Be |
E767946
|
entity |
| Predicate | firstFeaturedInFilmStar |
P135394
|
FINISHED |
| Object | James Stewart |
E15727
|
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: James Stewart | Statement: [Whatever Will Be, Will Be, firstFeaturedInFilmStar, James Stewart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFeaturedInFilmStar Context triple: [Whatever Will Be, Will Be, firstFeaturedInFilmStar, James Stewart]
-
A.
featuredInFilmBy
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
-
B.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
C.
madeFamousByFilm
Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
-
D.
leadActorDebutFilmFor
chosen
Indicates that a person’s first film as a lead actor is the specified movie.
-
E.
starredActorWith
Indicates that one entity participated as an actor in a production together with another specified actor.
- F. None of above.
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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01b935e3948190a7af37b07938d618 |
completed | May 11, 2026, 11:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27643b30b88190a1edb0006cd2de38 |
completed | June 9, 2026, 12:54 a.m. |
| PD | Predicate disambiguation | batch_6a01b8d198b48190b01e16ac9ce7e7bd |
completed | May 11, 2026, 11:09 a.m. |
Created at: April 29, 2026, 7:31 p.m.