Triple

T21490422
Position Surface form Disambiguated ID Type / Status
Subject Fair Game E530221 entity
Predicate producer P490 FINISHED
Object Jeff Skoll NE NERFINISHED

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: Jeff Skoll | Statement: [Fair Game, producer, Jeff Skoll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Skoll
Context triple: [Fair Game, producer, Jeff Skoll]
  • A. Jeff Skoll chosen
    Jeff Skoll is a Canadian-born entrepreneur, film producer, and philanthropist best known as eBay’s first president and for founding Participant Media and the Skoll Foundation to promote social change.
  • B. Ron Conway
    Ron Conway is a prominent Silicon Valley angel investor and venture capitalist known for early-stage investments in major technology companies such as Google and Facebook.
  • C. Adam Thiel
    Adam Thiel is an American public safety leader and emergency management expert known for serving as a fire commissioner and overseeing disaster preparedness and response efforts.
  • D. Reid Hoffman
    Reid Hoffman is an American entrepreneur, venture capitalist, and co-founder of LinkedIn, known for his influential role in the tech industry and philanthropy.
  • E. John Doerr
    John Doerr is a prominent American venture capitalist and early investor in major technology companies such as Google and Amazon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea3aee648190ba845f0c7d8110dd completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:22 p.m.