Triple
T18801604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCLA Bruins men's water polo |
E459766
|
entity |
| Predicate | producedOlympians |
P43782
|
FINISHED |
| Object | Adam Wright |
—
|
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: Adam Wright | Statement: [UCLA Bruins men's water polo, producedOlympians, Adam Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Wright Context triple: [UCLA Bruins men's water polo, producedOlympians, Adam Wright]
-
A.
Adam Wright
chosen
Adam Wright is a former Olympic water polo player and highly successful head coach of the UCLA Bruins men's water polo program.
-
B.
Sam Wright
Sam Wright is an individual known primarily as a relative of George Wright.
-
C.
Tyler Wright
Tyler Wright is an Australian professional surfer and multiple-time world champion known for her powerful style and success on the World Surf League tour.
-
D.
Angus Wright
Angus Wright is a British actor known for his work in film, television, and theatre, often appearing in dramas and period pieces.
-
E.
Adam Whitely
Adam Whitely is a fictional character associated with the use of the name or persona "Priscilla."
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02400208190b1d84e2b0640df08 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.