Triple

T23480395
Position Surface form Disambiguated ID Type / Status
Subject Ted Striker E570388 entity
Predicate appearsIn P795 FINISHED
Object Airplane! 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: Airplane! | Statement: [Ted Striker, appearsIn, Airplane!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airplane!
Context triple: [Ted Striker, appearsIn, Airplane!]
  • A. Airplane! chosen
    Airplane! is a 1980 satirical disaster-comedy film that parodies the conventions of airline and disaster movies with rapid-fire visual gags and deadpan humor.
  • B. Airplane
    "Airplane" is a song featured on the album *Ain’t Life Grand*.
  • C. Airplane II: The Sequel
    Airplane II: The Sequel is a 1982 parody disaster comedy film that continues the spoof style of the original Airplane! with a new storyline set on a space shuttle.
  • D. Airport 1975
    Airport 1975 is a 1974 American disaster film and sequel in the Airport series, best known for its midair collision plot and ensemble cast.
  • E. Flight 5
    Flight 5 is the fifth installment in the "Flight" anthology series of wordless graphic novel collections curated by Kazu Kibuishi, featuring short comics by various artists.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74f48d8819080e875aaea8b46b3 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.