Triple
T6703984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Nolfi |
E152951
|
entity |
| Predicate | genreOfWorkOftenAssociated |
P38924
|
FINISHED |
| Object | science fiction |
—
|
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: science fiction | Statement: [George Nolfi, genreOfWorkOftenAssociated, science fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfWorkOftenAssociated Context triple: [George Nolfi, genreOfWorkOftenAssociated, science fiction]
-
A.
genreOfWorkHonored
Indicates the specific genre or type of creative work for which an honor, award, or recognition is given.
-
B.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
C.
worksBy
Indicates that one entity is the creator or author of a work (such as a book, artwork, or composition) associated with another entity.
-
D.
workOfAuthorWho
Indicates that one entity is a work (such as a book, article, or artwork) created by another entity who is its author.
-
E.
genreAssociatedWith
chosen
Indicates a relationship where a work, item, or entity is linked to or categorized under a particular 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:06 p.m.