Triple
T32810680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allan Glaser |
E839141
|
entity |
| Predicate | producedFilmAbout |
P44602
|
FINISHED |
| Object | Tab Hunter |
—
|
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: Tab Hunter | Statement: [Allan Glaser, producedFilmAbout, Tab Hunter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedFilmAbout Context triple: [Allan Glaser, producedFilmAbout, Tab Hunter]
-
A.
producedFilm
Indicates that one entity served as the producer (or production company) responsible for making or financing the creation of a particular film.
-
B.
producedFilmStarring
chosen
Indicates that a person or company produced a film in which a specified actor or set of actors starred.
-
C.
producedFilmType
Indicates that an entity (such as a person or organization) was responsible for producing a film of a specified type or category.
-
D.
hasDirectedFeatureFilm
Indicates that a person has directed a particular feature-length film.
-
E.
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.
- F. None of above.
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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: May 1, 2026, 1:15 a.m.