Triple

T4123364
Position Surface form Disambiguated ID Type / Status
Subject Tortilla Flat E92664 entity
Predicate adaptedAs P1926 FINISHED
Object Tortilla Flat (film) E92664 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: Tortilla Flat (film) | Statement: [Tortilla Flat, adaptedAs, Tortilla Flat (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tortilla Flat (film)
Context triple: [Tortilla Flat, adaptedAs, Tortilla Flat (film)]
  • A. Tortilla Flat chosen
    Tortilla Flat is a 1935 novel by John Steinbeck that humorously and poignantly portrays the lives of a group of paisano friends in post–World War I Monterey, California.
  • B. Red Dust
    Red Dust is a 1932 American pre-Code romantic drama film starring Clark Gable and Jean Harlow, set on a rubber plantation in French Indochina.
  • C. Red Dust
    Red Dust is a film associated with director Tom Hooper, known as one of his earlier dramatic works before his rise to international prominence.
  • D. Ace in the Hole
    Ace in the Hole is a 1951 film noir drama directed by Billy Wilder that critiques media sensationalism through the story of a cynical reporter exploiting a disaster for personal gain.
  • E. Reap the Wild Wind
    Reap the Wild Wind is a 1942 seafaring adventure film directed by Cecil B. DeMille, known for its maritime salvage drama set in the 1840s along the Florida coast.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af020728a08190a50a16b40690cbce completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b405548190affdd8bb108995b1 completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:41 p.m.