Triple

T11308484
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles Clippers E267776 entity
Predicate owner P347 FINISHED
Object Steve Ballmer E113953 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: Steve Ballmer | Statement: [Los Angeles Clippers, owner, Steve Ballmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Ballmer
Context triple: [Los Angeles Clippers, owner, Steve Ballmer]
  • A. Steve Ballmer chosen
    Steve Ballmer is an American businessman and former Microsoft CEO known for his energetic leadership style and ownership of the NBA’s Los Angeles Clippers.
  • B. Larry Burns
    Larry Burns is the long-lost son of the wealthy power plant owner Mr. Burns on the animated television series "The Simpsons."
  • C. Bill Gates
    Bill Gates is an American business magnate, software pioneer, and philanthropist who co-created the Windows operating system and later co-founded one of the world’s largest charitable foundations.
  • D. Mike Lynch
    Mike Lynch is a collegiate athletics administrator best known for leading the athletic department at Babson College.
  • E. Ray Ozzie
    Ray Ozzie is an American software entrepreneur and technologist best known for creating Lotus Notes and later serving as a key strategic leader at Microsoft.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9bf87d88190904c2d174578ebbf completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a70022081908bc74185003a3503 completed April 19, 2026, 5:01 p.m.
Created at: April 8, 2026, 9:32 p.m.