Triple

T13177266
Position Surface form Disambiguated ID Type / Status
Subject Ken Howery E313128 entity
Predicate employer P7 FINISHED
Object Founders Fund E95176 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: Founders Fund | Statement: [Ken Howery, employer, Founders Fund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Founders Fund
Context triple: [Ken Howery, employer, Founders Fund]
  • A. Founders Fund chosen
    Founders Fund is a Silicon Valley venture capital firm known for backing ambitious, transformative technology companies at early and growth stages.
  • B. Thiel Capital
    Thiel Capital is an investment firm and family office managing the personal capital and strategic ventures of billionaire entrepreneur and investor Peter Thiel.
  • C. Revolution Ventures
    Revolution Ventures is a venture capital firm founded by Steve Case that invests in early-stage, high-growth companies, often outside traditional tech hubs.
  • D. Thrive Capital
    Thrive Capital is a New York–based venture capital firm known for investing in high-growth technology and internet companies.
  • E. Cambridge Innovation Capital
    Cambridge Innovation Capital is a venture capital firm that invests in and supports high-growth technology and life sciences companies emerging from the Cambridge innovation ecosystem.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c322fdc8190b05f2287eba9dda6 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff116f1c819097e4c53cd1411d78 completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:14 p.m.