Triple

T6043216
Position Surface form Disambiguated ID Type / Status
Subject Robert Schwentke E134598 entity
Predicate notableWork P4 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: [Robert Schwentke, notableWork, Allegiant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allegiant
Context triple: [Robert Schwentke, notableWork, 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e108fc81908775d176ff960fad completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cfbb4cc81909736d5d041dd0b23 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:08 p.m.