Triple
T11227446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Wells |
E265731
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Warren Wells |
E265731
|
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: Warren Wells | Statement: [Warren Wells, fullName, Warren Wells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren Wells Context triple: [Warren Wells, fullName, Warren Wells]
-
A.
Warren Wells
chosen
Warren Wells was an American professional football wide receiver best known for his standout seasons with the Oakland Raiders in the late 1960s.
-
B.
Warren Sharples
Warren Sharples is a musician known for being a member of the new wave band Tom Tom Club.
-
C.
Warren Archibald
Warren Archibald is a Trinidadian former professional footballer best known as a prolific forward in the North American Soccer League during the late 1960s and 1970s.
-
D.
Warren Holbrook
Warren Holbrook is an individual notable enough to be specifically cited as a bearer of the surname Holbrook.
-
E.
William Wheeler
William Wheeler is an American screenwriter known for his work on films such as the biographical drama "Queen of Katwe."
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ff7b40819089c835be710bc575 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac706dc4819093f06b368f03fe02 |
completed | May 6, 2026, 9:02 p.m. |
Created at: April 8, 2026, 9:30 p.m.