Triple
T16366061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Wooten |
E397439
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wooten
Wooten is a surname most prominently associated with Victor Wooten, the acclaimed American bass guitarist and composer.
|
E1208565
|
NE FINISHED |
How this triple was built (4 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: Wooten | Statement: [Victor Wooten, familyName, Wooten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wooten Context triple: [Victor Wooten, familyName, Wooten]
-
A.
Wilburn
Wilburn is a masculine given name and surname of English origin, historically derived from Old English elements meaning "will" or "desire" and "stream" or "brook."
-
B.
Wicks
Wicks is a surname most notably associated with former professional basketball player Sidney Wicks.
-
C.
Whisenhunt
Whisenhunt is the surname of Ken Whisenhunt, an American football coach and former NFL tight end best known for leading the Arizona Cardinals to a Super Bowl appearance.
-
D.
Waggoner
Waggoner is a surname most notably associated with American actor and model Lyle Waggoner, known for his work on The Carol Burnett Show and the TV series Wonder Woman.
-
E.
Weeley
Weeley is a small village and civil parish in the Tendring district of Essex, England, known for its rural character and proximity to the Essex coast.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wooten Triple: [Victor Wooten, familyName, Wooten]
Generated description
Wooten is a surname most prominently associated with Victor Wooten, the acclaimed American bass guitarist and composer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wooten Target entity description: Wooten is a surname most prominently associated with Victor Wooten, the acclaimed American bass guitarist and composer.
-
A.
Wilburn
Wilburn is a masculine given name and surname of English origin, historically derived from Old English elements meaning "will" or "desire" and "stream" or "brook."
-
B.
Wicks
Wicks is a surname most notably associated with former professional basketball player Sidney Wicks.
-
C.
Whisenhunt
Whisenhunt is the surname of Ken Whisenhunt, an American football coach and former NFL tight end best known for leading the Arizona Cardinals to a Super Bowl appearance.
-
D.
Waggoner
Waggoner is a surname most notably associated with American actor and model Lyle Waggoner, known for his work on The Carol Burnett Show and the TV series Wonder Woman.
-
E.
Weeley
Weeley is a small village and civil parish in the Tendring district of Essex, England, known for its rural character and proximity to the Essex coast.
- F. None of above. chosen
Provenance (5 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3c915c81909e1757fc31921876 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dc0b3d4819089e6fba536ec8a11 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002f35af8081908ea9c3d0a991c396 |
completed | May 10, 2026, 7:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002fa14ee4819080b02b368c0080b9 |
completed | May 10, 2026, 7:11 a.m. |
Created at: April 10, 2026, 5:08 a.m.