Triple

T4687867
Position Surface form Disambiguated ID Type / Status
Subject Pen15 E103963 entity
Predicate executiveProducer P7225 FINISHED
Object Sam Zvibleman E526058 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: Sam Zvibleman | Statement: [Pen15, executiveProducer, Sam Zvibleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Zvibleman
Context triple: [Pen15, executiveProducer, Sam Zvibleman]
  • A. Sam Zvibleman chosen
    Sam Zvibleman is a filmmaker and television writer-director best known for co-creating and directing the coming-of-age comedy series "PEN15."
  • B. Sam Zussman
    Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
  • C. Mike Sokolsky
    Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
  • D. Michael Kagan
    Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
  • E. Marc Mezvinsky
    Marc Mezvinsky is an American investment banker best known as the husband of Chelsea Clinton and son-in-law of former U.S. President Bill Clinton and former Secretary of State Hillary Clinton.
  • 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_69bd6397f6888190a9024a51d4d34f2b completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfaf26c0e481909f54973d30da3ef4 completed March 22, 2026, 8:58 a.m.
Created at: March 20, 2026, 1:16 p.m.