Triple

T14413867
Position Surface form Disambiguated ID Type / Status
Subject The Hospital E357398 entity
Predicate producer P490 FINISHED
Object Howard Gottfried NE NERFINISHED

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 Gottfried | Statement: [The Hospital, producer, Howard Gottfried]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Gottfried
Context triple: [The Hospital, producer, Howard Gottfried]
  • A. Howard Gottfried chosen
    Howard Gottfried was an American film producer best known for his work on acclaimed movies such as "Network" and "The Hospital."
  • B. Harry Fischbeck
    Harry Fischbeck was an early American cinematographer best known as one of the founders of the American Society of Cinematographers, helping to establish professional standards and recognition for the craft.
  • C. Howard Burkons
    Howard Burkons is a film producer best known for his work on the thriller drama "John Q."
  • D. Jude U. Hofschneider
    Jude U. Hofschneider is a Northern Mariana Islands politician who has served as lieutenant governor and held various leadership roles in the territory’s government.
  • E. Richard Gottehrer
    Richard Gottehrer is an American record producer, songwriter, and music executive known for co-founding Sire Records and working with numerous influential rock and pop artists.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
Created at: April 10, 2026, 1:17 a.m.