Triple

T13351833
Position Surface form Disambiguated ID Type / Status
Subject Megan Ellison E318087 entity
Predicate relative P37 FINISHED
Object Larry Ellison E14840 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 Ellison | Statement: [Megan Ellison, relative, Larry Ellison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Ellison
Context triple: [Megan Ellison, relative, 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 (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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f47fd7c8190b8d98a181acd7710 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:32 p.m.