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.