Triple

T12391663
Position Surface form Disambiguated ID Type / Status
Subject The Goldbergs E296007 entity
Predicate executiveProducer P7225 FINISHED
Object Seth Gordon E80573 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: Seth Gordon | Statement: [The Goldbergs, executiveProducer, Seth Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seth Gordon
Context triple: [The Goldbergs, executiveProducer, Seth Gordon]
  • A. Seth Gordon chosen
    Seth Gordon is an American film and television director known for his work on comedies such as "Horrible Bosses" and the documentary "The King of Kong: A Fistful of Quarters."
  • B. Seth Hurwitz
    Seth Hurwitz is a prominent Washington, D.C.-based concert promoter and co-owner of I.M.P., known for operating major music venues such as the 9:30 Club and The Anthem.
  • C. Seth Klein
    Seth Klein is a Canadian policy analyst and author known for his work on social and economic justice, including his leadership role at the British Columbia office of the Canadian Centre for Policy Alternatives.
  • D. Seth Meyer
    Seth Meyer is the son of "Twilight" author Stephenie Meyer.
  • E. David Frankel
    David Frankel is an American film and television director best known for helming popular works such as "The Devil Wears Prada" and episodes of "Sex and the City."
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd0bcc48190bb1a59a3aaa6bfdf completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347c239881909a031e9e195080c9 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.