Triple

T2458844
Position Surface form Disambiguated ID Type / Status
Subject Homeland E54483 entity
Predicate executiveProducer P7225 FINISHED
Object Howard Gordon E268698 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: Howard Gordon | Statement: [Homeland, executiveProducer, Howard Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Gordon
Context triple: [Homeland, executiveProducer, Howard Gordon]
  • A. Howard Gordon chosen
    Howard Gordon is an American television writer and producer best known for his work on acclaimed series such as "24" and "Homeland."
  • B. 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."
  • C. Brian Koppelman
    Brian Koppelman is an American screenwriter, director, and producer best known for co-writing films like "Rounders" and "Ocean's Thirteen" and co-creating the TV series "Billions."
  • D. Mitchell Hurwitz
    Mitchell Hurwitz is an American television writer and producer best known for creating the critically acclaimed sitcom "Arrested Development."
  • E. Dan Goor
    Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10a35f88190b102a2cb5c88146e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f84e1a481908fa67498f2bd1984 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:44 p.m.