Triple
T2678245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA COTY |
E56510
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | COTY |
E55567
|
NE 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: COTY | Statement: [NBA COTY, hasAbbreviation, COTY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COTY Context triple: [NBA COTY, hasAbbreviation, COTY]
-
A.
COTY
chosen
COTY is the commonly used abbreviation for the National Basketball Association's Coach of the Year award.
-
B.
CoverGirl
CoverGirl is a major American cosmetics brand known for its mass-market makeup products and high-profile celebrity spokesmodels.
-
C.
CFDA Fashion Icon Award
The CFDA Fashion Icon Award is a prestigious honor presented by the Council of Fashion Designers of America to individuals whose personal style has made a significant impact on the fashion industry and popular culture.
-
D.
Maybelline New York
Maybelline New York is a major American cosmetics and beauty brand known worldwide for its mass-market makeup products.
-
E.
Fenty
Fenty is the surname of global music and fashion icon Rihanna, which she also uses as the brand name for her beauty and fashion ventures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b697fc8190a5ec8b75ee2ad238 |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa065a6f48190973a3b6c52aa23bf |
completed | March 10, 2026, 4:39 a.m. |
Created at: March 6, 2026, 9:54 p.m.