Triple

T13109321
Position Surface form Disambiguated ID Type / Status
Subject Flipped E310929 entity
Predicate basedOn P98 FINISHED
Object Flipped (novel) E310929 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: Flipped (novel) | Statement: [Flipped, basedOn, Flipped (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flipped (novel)
Context triple: [Flipped, basedOn, Flipped (novel)]
  • A. Flipped chosen
    Flipped is a 2010 coming-of-age romantic drama film directed by Rob Reiner, based on Wendelin Van Draanen’s novel about two eighth-graders who develop a complicated young love over several years.
  • B. Paper Towns
    Paper Towns is a 2015 coming-of-age mystery film, based on John Green’s novel, that follows a teenager’s quest to find his enigmatic neighbor after her sudden disappearance.
  • C. Flaked
    Flaked is a Netflix dramedy series co-created by and starring Will Arnett as a self-help guru in Venice, California, whose carefully constructed life begins to unravel.
  • D. The Flick
    The Flick is a Pulitzer Prize–winning play by Annie Baker that portrays the lives of three underpaid employees working in a run-down Massachusetts movie theater.
  • E. Flipt
    Flipt is a casual dining restaurant located inside Rivers Casino Des Plaines, known for serving classic American comfort food like burgers and sandwiches.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817ce07881909ec552bf861ac175 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27bd8fc8190a81130b7cb3a8bd8 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.