Triple
T11338785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margo Roth Spiegelman |
E268540
|
entity |
| Predicate | genreOfWorkSheAppearsIn |
P55464
|
FINISHED |
| Object | young adult 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: young adult fiction | Statement: [Margo Roth Spiegelman, genreOfWorkSheAppearsIn, young adult fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfWorkSheAppearsIn Context triple: [Margo Roth Spiegelman, genreOfWorkSheAppearsIn, young adult fiction]
-
A.
genreOfWorkActedIn
Indicates that an entity is the genre category of a work in which another entity performed or acted.
-
B.
genreOfWorkDirected
Indicates that a person has directed a work (such as a film, show, or performance) belonging to a specified genre.
-
C.
genreOfWorkCharacterIsIn
chosen
Indicates the specific genre of the creative work in which a given character appears.
-
D.
genreOfProducedWorks
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
E.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:33 p.m.