Triple
T32295418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Finney as Kilgore Trout |
E825079
|
entity |
| Predicate | characterAlsoAppearsInWorksBy |
P198243
|
FINISHED |
| Object | Kurt Vonnegut |
—
|
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: Kurt Vonnegut | Statement: [Albert Finney as Kilgore Trout, characterAlsoAppearsInWorksBy, Kurt Vonnegut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterAlsoAppearsInWorksBy Context triple: [Albert Finney as Kilgore Trout, characterAlsoAppearsInWorksBy, Kurt Vonnegut]
-
A.
characterAppearsIn
Indicates that a specific character is present or featured within a particular work, such as a book, movie, or episode.
-
B.
composerOfWorkFeaturingCharacter
Indicates that one entity is the composer of a musical or dramatic work in which the other entity appears as a character.
-
C.
alsoAppearsAs
Indicates that an entity is known or presented under an alternative name, form, or representation.
-
D.
authorOfWorkHeAppearsIn
Indicates that a person is the author of a work in which he himself appears as a character or subject.
-
E.
publisherOfWorksFeaturingCharacter
Indicates that one entity is the publisher responsible for releasing works in which a given character appears.
- 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fed48d8e148190a99c0aea29f8a3ee |
completed | May 9, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fed3c82a24819095e614e31ac0307f |
completed | May 9, 2026, 6:27 a.m. |
| PDg | Predicate description generation | batch_69fed48c92ec8190b3be88880d86de86 |
completed | May 9, 2026, 6:30 a.m. |
Created at: May 1, 2026, 12:44 a.m.