Triple

T12237161
Position Surface form Disambiguated ID Type / Status
Subject Brenda Vaccaro E291625 entity
Predicate notableWork P4 FINISHED
Object Airport '77 E829402 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: Airport '77 | Statement: [Brenda Vaccaro, notableWork, Airport '77]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airport '77
Context triple: [Brenda Vaccaro, notableWork, Airport '77]
  • A. Airport ’77 chosen
    Airport ’77 is a 1977 American disaster film in the Airport franchise, centered on a luxury jet that crashes into the ocean and becomes trapped underwater.
  • B. Bright Flight
    Bright Flight is a 2001 indie rock album by Silver Jews, noted for David Berman’s stark, country-tinged songwriting and melancholic, literate lyrics.
  • C. Flightplan
    Flightplan is a 2005 psychological thriller film starring Jodie Foster as a mother whose daughter mysteriously disappears during a transatlantic flight.
  • D. Cities in Flight
    Cities in Flight is a science fiction series by James Blish that follows entire cities roaming the galaxy using anti-gravity technology over vast spans of future history.
  • E. The Flight
    The Flight is a musical duo known for composing the atmospheric and cinematic soundtrack for the video game Horizon Zero Dawn.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb2892c81909a97b3ad6ec2c21b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab19a4c8190b4692d7ab0d02a12 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.