Triple

T15293865
Position Surface form Disambiguated ID Type / Status
Subject Going Hollywood E365601 entity
Predicate producer P490 FINISHED
Object Walter Wanger E178949 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: Walter Wanger | Statement: [Going Hollywood, producer, Walter Wanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Wanger
Context triple: [Going Hollywood, producer, Walter Wanger]
  • A. Walter Wanger chosen
    Walter Wanger was an American film producer known for his work on numerous influential Hollywood films from the 1930s through the 1950s, often tackling socially conscious and ambitious subjects.
  • B. Joseph Schenck
    Joseph Schenck was a pioneering early Hollywood film executive and producer who played a key role in shaping the American movie industry.
  • C. Dean Zanuck
    Dean Zanuck is an American film producer and member of the prominent Zanuck filmmaking family, known for working on major Hollywood projects.
  • D. Arthur Lubin
    Arthur Lubin was an American film director best known for his work on comedies and fantasy films in the mid-20th century, including several Abbott and Costello movies and the Francis the Talking Mule series.
  • E. Jesse L. Lasky Jr.
    Jesse L. Lasky Jr. was an American screenwriter known for his work on major Hollywood epics and adventure films in the mid-20th century.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03682ea488190ac82fdbd0e855d34 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef7f2fc08190937226dad5fdc9c6 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.