Triple

T379798
Position Surface form Disambiguated ID Type / Status
Subject The Wizard of Oz E8653 entity
Predicate producer P490 FINISHED
Object Mervyn LeRoy E52975 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: Mervyn LeRoy | Statement: [The Wizard of Oz, producer, Mervyn LeRoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mervyn LeRoy
Context triple: [The Wizard of Oz, producer, Mervyn LeRoy]
  • A. Mervyn LeRoy chosen
    Mervyn LeRoy was an American film director and producer known for his influential work in classic Hollywood cinema, including a key role in bringing "The Wizard of Oz" to the screen.
  • B. Allan Dwan
    Allan Dwan was a pioneering Canadian-born American film director and producer whose prolific career spanned the silent and early sound eras of Hollywood cinema.
  • C. Michael Curtiz
    Michael Curtiz was a Hungarian-American film director best known for helming classic Hollywood films such as "Casablanca."
  • D. King Vidor
    King Vidor was an influential American film director of Hollywood’s Golden Age, known for classics such as "The Big Parade," "The Crowd," and his uncredited work on "The Wizard of Oz."
  • E. Lloyd Bacon
    Lloyd Bacon was an American film director and actor best known for his prolific work in Hollywood during the 1920s–1940s, including numerous musicals and comedies for Warner Bros.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2b07248190979229bad3a741c9 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4253ec4d48190bdaaf385c9a8e4a9 completed March 1, 2026, 11:38 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.