Triple

T6920603
Position Surface form Disambiguated ID Type / Status
Subject Krishna Thea Lakshmi-Dell E160173 entity
Predicate hasRelative P367 FINISHED
Object Michael Dell E257641 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: Michael Dell | Statement: [Krishna Thea Lakshmi-Dell, hasRelative, Michael Dell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Dell
Context triple: [Krishna Thea Lakshmi-Dell, hasRelative, Michael Dell]
  • A. Michael Dell chosen
    Michael Dell is an American entrepreneur and business magnate best known as the founder and longtime CEO of Dell Technologies, one of the world’s largest technology companies.
  • B. Mike Lynch
    Mike Lynch is a collegiate athletics administrator best known for leading the athletic department at Babson College.
  • C. Steve Ballmer
    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.
  • D. 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.
  • E. Jim Balsillie
    Jim Balsillie is a Canadian businessman and philanthropist best known as the former co-CEO of BlackBerry maker Research In Motion and a major supporter of international affairs and public policy education.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fa452c8190b2bea2d47309c889 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c751345edc8190ab0f34120a42571e completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:26 p.m.