Triple

T4684225
Position Surface form Disambiguated ID Type / Status
Subject Mike Lynch E103879 entity
Predicate knownAs P39 FINISHED
Object Mike Lynch E103879 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: Mike Lynch | Statement: [Mike Lynch, knownAs, Mike Lynch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Lynch
Context triple: [Mike Lynch, knownAs, Mike Lynch]
  • A. Mike Lynch chosen
    Mike Lynch is a collegiate athletics administrator best known for leading the athletic department at Babson College.
  • B. 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.
  • C. Michael Dell
    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.
  • D. 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.
  • E. Larry Ellison
    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.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63829b048190a2044de900ef7a69 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03b07664819097d959fde1b0585b completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.