Triple

T22537569
Position Surface form Disambiguated ID Type / Status
Subject Indian Wells Tennis Garden E557196 entity
Predicate owner P347 FINISHED
Object Larry Ellison NE NERFINISHED

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 Ellison | Statement: [Indian Wells Tennis Garden, owner, Larry Ellison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Ellison
Context triple: [Indian Wells Tennis Garden, owner, Larry Ellison]
  • A. Larry Ellison chosen
    Larry Ellison is an American billionaire entrepreneur and co-founder of Oracle Corporation, known for his major influence in the software industry and high-profile philanthropic and business activities.
  • B. Mike Lynch
    Mike Lynch is a collegiate athletics administrator best known for leading the athletic department at Babson College.
  • C. Thomas Siebel
    Thomas Siebel is an American technology entrepreneur best known as the founder of Siebel Systems and later the cloud computing company C3.ai.
  • D. Larry Burns
    Larry Burns is the long-lost son of the wealthy power plant owner Mr. Burns on the animated television series "The Simpsons."
  • E. Mitchell Kapor
    Mitchell Kapor is an American entrepreneur and software pioneer best known for founding Lotus Development Corporation and co-creating the Lotus 1-2-3 spreadsheet, as well as for his philanthropy and advocacy in technology and civil liberties.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f2f671c8190b7a7d9b6d0d64a9b completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.