Triple
T29133492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Green Man |
E738443
|
entity |
| Predicate | televisionAdaptationStarring |
P41102
|
FINISHED |
| Object | Albert Finney |
—
|
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: Albert Finney | Statement: [The Green Man, televisionAdaptationStarring, Albert Finney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionAdaptationStarring Context triple: [The Green Man, televisionAdaptationStarring, Albert Finney]
-
A.
televisionAdaptationStar
chosen
Indicates that a person is a starring actor in a television adaptation of a work.
-
B.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
C.
televisionFilmAdaptation
Indicates that a television film is an adaptation of another work, such as a book, play, or earlier production.
-
D.
hasTelevisionAdaptationBroadcaster
Indicates that the broadcaster specified is responsible for airing the television adaptation of the subject work or entity.
-
E.
coCreatedTelevisionAdaptationOf
Indicates that two or more entities jointly participated in creating a television adaptation of a work.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6645ba71c81908044ade6ab577018 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 11:33 a.m.