Triple
T8176554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek Freak |
E190948
|
entity |
| Predicate | endorsementCategory |
P81267
|
FINISHED |
| Object | sportswear |
—
|
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: sportswear | Statement: [Greek Freak, endorsementCategory, sportswear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endorsementCategory Context triple: [Greek Freak, endorsementCategory, sportswear]
-
A.
endorsedBy
Indicates that one entity has given formal approval, support, or recommendation to another entity.
-
B.
eligibilityCategory
Indicates the classification or type of eligibility that applies to an entity within a given context.
-
C.
supportsSpendingCategory
Indicates that one entity allows, enables, or is compatible with making expenditures in a specified spending category.
-
D.
endorsedAt
Indicates the specific time or date at which an endorsement or approval of something was made.
-
E.
hasSupportCategory
Indicates that an entity is associated with a particular type or category of support it receives or provides.
- F. None of above. chosen
Provenance (4 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4aba0dd88190828080d0d89612eb |
completed | March 31, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69cb36a7952481908f34e3e82f375a84 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb45503eec8190aeef0da6c3324710 |
completed | March 31, 2026, 3:53 a.m. |
Created at: March 30, 2026, 5:40 p.m.