Triple
T34964853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Say Never |
E1008363
|
entity |
| Predicate | isPartOfAuthorEarlyCareerFiction |
P107613
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Say Never, isPartOfAuthorEarlyCareerFiction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfAuthorEarlyCareerFiction Context triple: [Say Never, isPartOfAuthorEarlyCareerFiction, true]
-
A.
partOfAuthorEarlyWork
chosen
Indicates that something belongs to the earlier phase of an author's body of work.
-
B.
hasFictionComponent
Indicates that something includes, contains, or is composed in part of a fictional element or work.
-
C.
hasAssociatedWorkOfFiction
Indicates that an entity is linked to a related work of fiction, such as a novel, film, or story that is associated with it.
-
D.
partOfAuthorBibliography
Indicates that a work is included in the set of publications that make up an author's bibliography.
-
E.
genreOfWorkEdited
Indicates that an entity has served as an editor for a work belonging to a specified 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff795d25d08190b7584c72be39d309 |
completed | May 9, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69ff78a90fbc8190a62c57456dc1d4ad |
completed | May 9, 2026, 6:10 p.m. |
Created at: May 3, 2026, 4 p.m.