Triple

T15439657
Position Surface form Disambiguated ID Type / Status
Subject Larry Brown E369863 entity
Predicate name P16 FINISHED
Object Larry Brown unclear NED1 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: Larry Brown | Statement: [Larry Brown, name, Larry Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Brown
Context triple: [Larry Brown, name, Larry Brown]
  • A. Larry Brown
    Larry Brown was a prominent baseball player in the Negro leagues, best known for his contributions as a standout member of the Memphis Red Sox.
  • B. Larry Brown
    Larry Brown is an American basketball coach and former point guard renowned for winning championships at both the professional and collegiate levels and for leading multiple NBA franchises.
  • C. Larry Brown
    Larry Brown is a former NFL cornerback best known for his standout performance with the Dallas Cowboys, including earning MVP honors in their Super Bowl XXX victory.
  • D. Larry Brown
    Larry Brown was an American writer known for his gritty, working-class fiction that exemplifies the dirty realism literary movement.
  • E. Bill Fitch
    Bill Fitch was an American basketball coach best known for leading the Boston Celtics to the 1981 NBA championship and for his reputation as a demanding, turnaround specialist.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eddf258819082679970b7d2b6af completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf7ce7c8190810ef35b6e37254d completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:21 a.m.