Triple

T3556418
Position Surface form Disambiguated ID Type / Status
Subject Fairchild Eight E75229 entity
Predicate member P10 FINISHED
Object Eugene Kleiner E174779 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: Eugene Kleiner | Statement: [Fairchild Eight, member, Eugene Kleiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eugene Kleiner
Context triple: [Fairchild Eight, member, Eugene Kleiner]
  • A. Eugene Kleiner chosen
    Eugene Kleiner was a pioneering Silicon Valley engineer and venture capitalist, best known as a co-founder of Fairchild Semiconductor and the influential VC firm Kleiner Perkins.
  • B. Harry Kleiner
    Harry Kleiner was an American screenwriter known for his work on notable films such as the crime thriller "Bullitt."
  • C. Jeremy Kleiner
    Jeremy Kleiner is an American film producer known for his work on acclaimed films such as the civil rights drama "Selma."
  • D. Nevin Steinberg
    Nevin Steinberg is a prominent American theatrical sound designer best known for his acclaimed work on the Broadway musical "Hamilton."
  • E. O. J. Berman
    O. J. Berman is a theatrical Hollywood agent character in Truman Capote’s *Breakfast at Tiffany’s*, known for his brash manner and for having tried to turn Holly Golightly into a movie star.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc057cc788190a6c4f3781f43abce completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb95bcc88190abf1ea2efc30faeb completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:20 p.m.