Triple

T16622786
Position Surface form Disambiguated ID Type / Status
Subject Keiynan Lonsdale E403872 entity
Predicate workedOn P3 FINISHED
Object Allegiant E553663 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: Allegiant | Statement: [Keiynan Lonsdale, workedOn, Allegiant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allegiant
Context triple: [Keiynan Lonsdale, workedOn, Allegiant]
  • A. Allegiant chosen
    Allegiant is a 2016 science-fiction action film in the Divergent series, based on Veronica Roth’s novel, that continues the story of a dystopian, faction-based future society.
  • B. Insurgent
    "Insurgent" is a 2015 science-fiction action film based on Veronica Roth's novel, serving as the second installment in the Divergent series.
  • C. Dauntless
    Dauntless is the nickname of the Douglas SBD Dauntless, a World War II U.S. Navy dive bomber famed for its decisive role in battles such as Midway.
  • D. Divergent
    Divergent is a 2014 dystopian science-fiction film, based on Veronica Roth’s novel, set in a faction-divided future society and starring Shailene Woodley alongside Kate Winslet.
  • E. The Hunger Games
    The Hunger Games is a popular dystopian science fiction franchise, best known as a young adult novel series by Suzanne Collins and its blockbuster film adaptations.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754f4f508190a5b4b8511623fcd4 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c29465188190a2ba6e3a7b695de3 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:17 a.m.