Triple
T35445605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standing |
E1024474
|
entity |
| Predicate | fieldWithManyNotableBearers |
P2531
|
FINISHED |
| Object | performing arts |
—
|
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: performing arts | Statement: [Standing, fieldWithManyNotableBearers, performing arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldWithManyNotableBearers Context triple: [Standing, fieldWithManyNotableBearers, performing arts]
-
A.
fieldOfNotableBearer
Indicates the professional or activity domain in which a notable bearer of a name, title, or identifier is recognized.
-
B.
hasNotableFieldOfBearers
chosen
Indicates that the entities share a significant or distinguished area of activity, expertise, or achievement associated with their bearers.
-
C.
notableBearerVariantOf
Indicates that one entity is a notable or prominent variant or version of another entity that bears or carries its characteristics.
-
D.
bearersBelongedTo
Indicates that the entities serving as bearers were members of, or affiliated with, a particular group, organization, or owner.
-
E.
notableBearerFullName
Indicates that a full personal name is that of a notable or well-known bearer associated with the referenced entity.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:04 p.m.