Triple

T12783072
Position Surface form Disambiguated ID Type / Status
Subject Private Benjamin E305554 entity
Predicate director P255 FINISHED
Object Howard Zieff E1158172 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 Zieff | Statement: [Private Benjamin, director, Howard Zieff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Zieff
Context triple: [Private Benjamin, director, Howard Zieff]
  • A. Howard Zieff chosen
    Howard Zieff was an American film director and former commercial photographer best known for directing popular comedies such as "Private Benjamin" and "My Girl."
  • B. George Zuckerman
    George Zuckerman was an American screenwriter and novelist best known for his work on mid-20th-century Hollywood films, including collaborations with director Douglas Sirk.
  • C. Louis Gruenberg
    Louis Gruenberg was a 20th-century American composer and pianist known for his operas, film scores, and contributions to modern classical music.
  • D. Philip Liebmann
    Philip Liebmann was the husband of American film actress Linda Darnell.
  • E. Harold Blum
    Harold Blum is an individual notable enough to be recognized as a namesake of the surname Blum, though specific widely known biographical details are not clearly established.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5b52048190b279b7ad066efe9f completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe5eeba08190849171d079745d1a completed May 9, 2026, 11:08 p.m.
Created at: April 9, 2026, 5:29 p.m.