Triple

T18933293
Position Surface form Disambiguated ID Type / Status
Subject Courtney Gains E463170 entity
Predicate notableWork P4 FINISHED
Object Lust in the Dust 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: Lust in the Dust | Statement: [Courtney Gains, notableWork, Lust in the Dust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lust in the Dust
Context triple: [Courtney Gains, notableWork, Lust in the Dust]
  • A. Lust in the Dust chosen
    Lust in the Dust is a 1985 campy Western comedy film starring Tab Hunter and Divine that parodies classic Hollywood Westerns with irreverent humor.
  • B. Desire in the Dust
    Desire in the Dust is a 1960 American drama film, best known as one of the prominent screen roles of actress Martha Hyer.
  • C. The Yellow Wind
    The Yellow Wind is a non-fiction book by Israeli author David Grossman that offers a critical, first-hand exploration of life under Israeli occupation in the West Bank during the 1980s.
  • D. Bad Land: An American Romance
    Bad Land: An American Romance is a nonfiction book that explores the history and human stories of early 20th-century homesteaders on the harsh plains of eastern Montana.
  • E. Thunder in the Dust
    "Thunder in the Dust" is a Western novel by American author Alan Le May, known for its vivid frontier setting and exploration of conflict and survival in the Old West.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e498308190bd1594cca841199c completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.