Triple
T1627051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarkson Potter |
E35168
|
entity |
| Predicate | publishesGenre |
P26454
|
FINISHED |
| Object | food and drink |
—
|
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: food and drink | Statement: [Clarkson Potter, publishesGenre, food and drink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publishesGenre Context triple: [Clarkson Potter, publishesGenre, food and drink]
-
A.
publishedGenre
chosen
Indicates that an entity has been published in, or is associated with, a particular genre.
-
B.
genreSpecialty
Indicates that an entity specializes in or is particularly associated with a specific genre.
-
C.
publishesFor
Indicates that one entity issues, releases, or makes content publicly available on behalf of, or in service of, another entity.
-
D.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
E.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9431af5ac8190893133f1ae490142 |
completed | March 5, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69a907c91c888190b6ed295c1a2e0977 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.