Triple
T24652362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U2 |
E610285
|
entity |
| Predicate | visualIdentityDevelopedWith |
P14573
|
FINISHED |
| Object | Steve Averill |
—
|
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: Steve Averill | Statement: [U2, visualIdentityDevelopedWith, Steve Averill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualIdentityDevelopedWith Context triple: [U2, visualIdentityDevelopedWith, Steve Averill]
-
A.
visualIdentity
Indicates the relationship in which one entity defines, shapes, or represents the visual appearance and branding style of another entity.
-
B.
visualIdentityDesigner
chosen
Indicates that an entity is responsible for creating or shaping the visual identity or visual branding of another entity.
-
C.
visualTrademark
Indicates that one entity serves as a visual trademark or logo representing another entity.
-
D.
visualIdentityRecognizedAs
Indicates that one visual identity is perceived, acknowledged, or treated as equivalent to another visual identity.
-
E.
logoDerivedFrom
Indicates that one logo is created, adapted, or otherwise based on another logo as its source or inspiration.
- 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 2:34 a.m.