Triple
T19756137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston Cougars |
E474504
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Coogs |
—
|
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: Coogs | Statement: [Houston Cougars, nickname, Coogs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coogs Context triple: [Houston Cougars, nickname, Coogs]
-
A.
Coogs
chosen
Coogs is a common shorthand nickname for the University of Houston Cougars athletic teams and their fans.
-
B.
Mycoskie
Mycoskie is the surname of Blake Mycoskie, the American entrepreneur best known as the founder of TOMS Shoes and pioneer of the “One for One” social entrepreneurship model.
-
C.
Turtle Shoes
Turtle Shoes is a whimsical, fictional footwear concept likely characterized by turtle-inspired design or functionality, originating from the creative project "Spontaneous Inventions."
-
D.
Havaianas
Havaianas is a Brazilian brand best known for its colorful, rubber flip-flops that have become a global casual footwear icon.
-
E.
Corcos
Corcos is an Italian surname most notably associated with television personality and chef Gabriele Corcos.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6531afcbc8190bd5364700008f6d8 |
completed | April 20, 2026, 4:23 p.m. |
Created at: April 10, 2026, 1:48 p.m.