Triple
T32902596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Dutchman |
E841650
|
entity |
| Predicate | composerOfWorkFeaturingCharacter |
P193260
|
FINISHED |
| Object | Richard Wagner |
—
|
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: Richard Wagner | Statement: [the Dutchman, composerOfWorkFeaturingCharacter, Richard Wagner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerOfWorkFeaturingCharacter Context triple: [the Dutchman, composerOfWorkFeaturingCharacter, Richard Wagner]
-
A.
genreOfWorkCharacterIsIn
Indicates the specific genre of the creative work in which a given character appears.
-
B.
actCountOfWorkFeaturingCharacter
Indicates the number of distinct acts in which a given work features a particular character.
-
C.
publisherOfWorksFeaturingCharacter
Indicates that one entity is the publisher responsible for releasing works in which a given character appears.
-
D.
screenwriterOfWorkFeaturingCharacter
Indicates that one entity is the screenwriter of a work in which the other entity appears as a character.
-
E.
directorCharacterOf
Indicates that a director is responsible for directing a particular character in a work (e.g., film, TV show, or play).
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
| PDg | Predicate description generation | batch_69fd3d45ccb8819082f15e60bd33afc9 |
completed | May 8, 2026, 1:32 a.m. |
Created at: May 1, 2026, 1:19 a.m.