Triple

T9280073
Position Surface form Disambiguated ID Type / Status
Subject The Dundies E223043 entity
Predicate executiveProducer P7225 FINISHED
Object Ben Silverman E674796 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: Ben Silverman | Statement: [The Dundies, executiveProducer, Ben Silverman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Silverman
Context triple: [The Dundies, executiveProducer, Ben Silverman]
  • A. Ben Silverman chosen
    Ben Silverman is an American media executive and television producer known for developing and producing numerous hit series across major networks and streaming platforms.
  • B. Ari Gold
    Ari Gold is a fast-talking, foul-mouthed Hollywood talent agent and fan-favorite character from the television series "Entourage."
  • C. Scooter Braun
    Scooter Braun is an American talent manager and music executive best known for discovering and managing major pop artists including Justin Bieber.
  • D. Ken Stovitz
    Ken Stovitz is an American entertainment executive and film producer best known for co-founding Overbrook Entertainment alongside Will Smith and others.
  • E. Ben Silbermann
    Ben Silbermann is an American entrepreneur best known as the co-founder and former CEO of the visual discovery platform Pinterest.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07cd9a1c8190af0521baa428ce10 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1fef1508190a9bf1a55dd39c0ac completed April 4, 2026, 6:38 a.m.
Created at: March 30, 2026, 7:34 p.m.