Triple
T2762444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry |
E61254
|
entity |
| Predicate | genreOfWorkHeAppearsIn |
P21332
|
FINISHED |
| Object | anti-slavery novel |
—
|
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: anti-slavery novel | Statement: [Harry, genreOfWorkHeAppearsIn, anti-slavery novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfWorkHeAppearsIn Context triple: [Harry, genreOfWorkHeAppearsIn, anti-slavery novel]
-
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.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
D.
genreOfAppearance
chosen
Indicates the genre or type of creative work in which an entity appears.
-
E.
producedFilmType
Indicates that an entity (such as a person or organization) was responsible for producing a film of a specified type or category.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.