Triple
T10146334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chico State Wildcats |
E231715
|
entity |
| Predicate | athleticDirector |
P745
|
FINISHED |
| Object |
Anita Barker
Anita Barker is a collegiate sports administrator who serves as the athletic director for the Chico State Wildcats at California State University, Chico.
|
E975737
|
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: Anita Barker | Statement: [Chico State Wildcats, athleticDirector, Anita Barker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anita Barker Context triple: [Chico State Wildcats, athleticDirector, Anita Barker]
-
A.
Anita Scott
Anita Scott is known as the wife of former NBA player and coach Byron Scott.
-
B.
Anita Thompson
Anita Thompson is an American author and editor best known for preserving and promoting the legacy of her late husband, gonzo journalist Hunter S. Thompson.
-
C.
Anita Dixon
Anita Dixon is a character in the 1941 romantic drama film "Hold Back the Dawn," involved in the story’s complex web of relationships and emotional conflicts.
-
D.
Barbara Tucker
Barbara Tucker is an American house and dance music singer, songwriter, and choreographer known for her powerful vocals and influential club hits in the 1990s and 2000s.
-
E.
Ann Bowden
Ann Bowden is known as the wife of English judge and politician John Coleridge.
- 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: Anita Barker Triple: [Chico State Wildcats, athleticDirector, Anita Barker]
Generated description
Anita Barker is a collegiate sports administrator who serves as the athletic director for the Chico State Wildcats at California State University, Chico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anita Barker Target entity description: Anita Barker is a collegiate sports administrator who serves as the athletic director for the Chico State Wildcats at California State University, Chico.
-
A.
Anita Scott
Anita Scott is known as the wife of former NBA player and coach Byron Scott.
-
B.
Anita Thompson
Anita Thompson is an American author and editor best known for preserving and promoting the legacy of her late husband, gonzo journalist Hunter S. Thompson.
-
C.
Anita Dixon
Anita Dixon is a character in the 1941 romantic drama film "Hold Back the Dawn," involved in the story’s complex web of relationships and emotional conflicts.
-
D.
Barbara Tucker
Barbara Tucker is an American house and dance music singer, songwriter, and choreographer known for her powerful vocals and influential club hits in the 1990s and 2000s.
-
E.
Ann Bowden
Ann Bowden is known as the wife of English judge and politician John Coleridge.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdebffb7688190b5def02f72154b14 |
completed | April 2, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e2fa3bc81909edef00c61265c55 |
completed | May 2, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69f622de74f0819096c5f5bf6f938fe7 |
completed | May 2, 2026, 4:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62379746c8190bc9da48775b86dfa |
completed | May 2, 2026, 4:16 p.m. |
Created at: March 30, 2026, 9:07 p.m.