Triple
T2884266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clay Bennett |
E59469
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Clay Bennett |
E59469
|
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: Clay Bennett | Statement: [Clay Bennett, name, Clay Bennett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clay Bennett Context triple: [Clay Bennett, name, Clay Bennett]
-
A.
Clay Bennett
chosen
Clay Bennett is an American businessman and sports franchise owner best known for relocating the NBA's Seattle SuperSonics to Oklahoma City, where they became the Thunder.
-
B.
Jim Bridwell
Jim Bridwell was a pioneering American rock climber and mountaineer renowned for his bold first ascents and influential role in the development of modern big-wall climbing in Yosemite.
-
C.
Jim Gilstrap
Jim Gilstrap is an American soul and R&B singer best known for his session work and for singing the male lead vocal on the theme song to the television show "Good Times."
-
D.
Mark Suter
Mark Suter is a percussionist known for his work in contemporary and world music, including performances with the Silk Road Ensemble.
-
E.
Brandt Bucher
Brandt Bucher is a Python core developer known for his work on language features such as structural pattern matching, including contributions to PEP 622.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02e0ec48190b969ed921d179560 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0316c4fa481909cd5b26ec346d885 |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:03 p.m.