Triple

T23002245
Position Surface form Disambiguated ID Type / Status
Subject Polar (2019 film) E572664 entity
Predicate producer P490 FINISHED
Object Hartley Gorenstein 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: Hartley Gorenstein | Statement: [Polar (2019 film), producer, Hartley Gorenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartley Gorenstein
Context triple: [Polar (2019 film), producer, Hartley Gorenstein]
  • A. Hartley Gorenstein chosen
    Hartley Gorenstein is a film producer best known for his work on the action-thriller movie "Polar."
  • B. Joseph Liebgott
    Joseph Liebgott was a paratrooper and rifleman in Easy Company of the U.S. Army’s 101st Airborne Division during World War II, known from the book and miniseries "Band of Brothers."
  • C. Odo Hirsch
    Odo Hirsch is an Australian author best known for his imaginative children's novels, including the popular "Hazel Green" and "Bartlett" series.
  • D. Bernard Herzbrun
    Bernard Herzbrun was an American art director known for his work on numerous Hollywood films during the 1930s and 1940s.
  • E. Louis Hollander
    Louis Hollander was a New York labor leader and public official who served as the state’s Industrial Commissioner, overseeing labor and employment policy.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18353d05481909abacb48a14ef21e completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:50 p.m.