Triple
T34367792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The First Team |
E882062
|
entity |
| Predicate | hasGenreAuthor |
P81112
|
FINISHED |
| Object | crime writer |
—
|
LITERAL 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: crime writer | Statement: [The First Team, hasGenreAuthor, crime writer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreAuthor Context triple: [The First Team, hasGenreAuthor, crime writer]
-
A.
authorGenre
chosen
Indicates the relationship between an author and the literary genre(s) in which they write or are associated with.
-
B.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
C.
hasWorkInGenreOfAuthor
Indicates that a work is associated with an author whose typical or primary genre matches the genre of that work.
-
D.
authorOfSameGenre
Indicates that two authors primarily write works within the same literary genre.
-
E.
hasGenreAsComposer
Indicates that an entity, in its role as a composer, is associated with a specific musical or artistic genre.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: May 1, 2026, 1:58 a.m.