Triple

T5264312
Position Surface form Disambiguated ID Type / Status
Subject Netflix E118902 entity
Predicate founders P104 FINISHED
Object Marc Randolph E93093 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: Marc Randolph | Statement: [Netflix, founders, Marc Randolph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Randolph
Context triple: [Netflix, founders, Marc Randolph]
  • A. Marc Randolph chosen
    Marc Randolph is an American entrepreneur and co-founder of Netflix who played a key role in pioneering the subscription-based streaming and DVD-by-mail business model.
  • B. Steven Dillingham
    Steven Dillingham is an American government official who served as Director of the U.S. Census Bureau during the 2020 United States census.
  • C. Randy Bennett
    Randy Bennett is a longtime American college basketball coach best known for transforming Saint Mary's into a consistent mid-major powerhouse and frequent NCAA Tournament contender.
  • D. Ben Boulware
    Ben Boulware is an American former linebacker best known for starring on Clemson University's national championship-winning football team and earning All-American honors.
  • E. Jerry Dandrige
    Jerry Dandrige is the charismatic yet sinister vampire antagonist in the 2011 horror-comedy film "Fright Night."
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd4a9888190a79ef8e64c764f86 completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe8b787881909be9c01d1ba52561 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:51 p.m.