Triple

T26697754
Position Surface form Disambiguated ID Type / Status
Subject Pacific Tigers men's basketball E673069 entity
Predicate notableCoach P550 FINISHED
Object Bob Thomason
Bob Thomason is an American college basketball coach best known for his long and successful tenure leading the University of the Pacific Tigers men's basketball program.
E1737631 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: Bob Thomason | Statement: [Pacific Tigers men's basketball, notableCoach, Bob Thomason]
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: Bob Thomason
Triple: [Pacific Tigers men's basketball, notableCoach, Bob Thomason]
Generated description
Bob Thomason is an American college basketball coach best known for his long and successful tenure leading the University of the Pacific Tigers men's basketball program.

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_69eecda2b49c8190a6c481cfc4c07954 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6177d33d88190a4f33193a0551c08 completed May 2, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11fe824be48190a712b2c38d910b2b completed May 23, 2026, 7:22 p.m.
NEDg Description generation batch_6a11ff2e71988190ad6d34bc5420c9bd completed May 23, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_6a11ffe6aad4819096be2e81c2f3d1b0 completed May 23, 2026, 7:28 p.m.
Created at: April 27, 2026, 3:29 a.m.