Triple
T32746062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Alan West |
E837356
|
entity |
| Predicate | representedBySilhouetteIn |
P54139
|
FINISHED |
| Object | NBA logo |
—
|
NE NERFINISHED |
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: NBA logo | Statement: [Jerry Alan West, representedBySilhouetteIn, NBA logo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedBySilhouetteIn Context triple: [Jerry Alan West, representedBySilhouetteIn, NBA logo]
-
A.
hasSilhouetteShape
Indicates that one entity has the overall outline or contour shape specified or characterized by another entity.
-
B.
representedInPartBy
Indicates that something is partially depicted, expressed, or captured within another thing, but not in its entirety.
-
C.
shadowRepresents
Indicates that one entity serves as the shadow or silhouette that visually corresponds to, or is cast by, another entity.
-
D.
introducedSilhouette
Indicates that one entity caused another entity to first appear or be presented in outline or partial form, rather than in full detail.
-
E.
areRepresentedBy
chosen
Indicates that one entity serves as a representation, proxy, or stand-in for another 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69feba0f09508190b3e871c62b19ec7f |
completed | May 9, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69feb957fe7c8190969fb31a6d1a59c8 |
completed | May 9, 2026, 4:34 a.m. |
Created at: May 1, 2026, 1:12 a.m.