Triple
T11863787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slick Watts |
E282230
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Slick Watts |
E282230
|
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: Slick Watts | Statement: [Slick Watts, nickname, Slick Watts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slick Watts Context triple: [Slick Watts, nickname, Slick Watts]
-
A.
Slick Watts
chosen
Slick Watts is a former American professional basketball point guard best known for his flashy play, trademark headband, and standout seasons with the Seattle SuperSonics in the 1970s.
-
B.
Theo Ratliff
Theo Ratliff is a former American NBA center best known for his elite shot-blocking and defensive presence during a career spanning the mid-1990s to late 2000s.
-
C.
Jeff Watts
Jeff "Tain" Watts is an acclaimed American jazz drummer known for his powerful, innovative playing and long association with Wynton and Branford Marsalis.
-
D.
Roy Watts
Roy Watts is an editor known for his work on the British television drama series "Kes."
-
E.
Tom Raper
Tom Raper was an American businessman and prominent Indiana RV dealer known for his large-scale dealership and philanthropic contributions, particularly in education.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73883508190a78b5f4ba4a220df |
completed | April 10, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281844c048190b5476343113f2436 |
completed | April 29, 2026, 10:09 p.m. |
Created at: April 8, 2026, 9:43 p.m.