Triple

T15733595
Position Surface form Disambiguated ID Type / Status
Subject DAUNTLESS E381407 entity
Predicate spokenForm P6196 FINISHED
Object “DAUNTLESS” E381407 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: “DAUNTLESS” | Statement: [DAUNTLESS, spokenForm, “DAUNTLESS”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “DAUNTLESS”
Context triple: [DAUNTLESS, spokenForm, “DAUNTLESS”]
  • A. DAUNTLESS chosen
    DAUNTLESS is the radio callsign used by the Canadian low-cost airline Lynx Air for air traffic control communications.
  • B. 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.
  • C. Allegiant
    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.
  • D. Dauntless the Drab
    Dauntless the Drab is the timid yet endearing prince from the musical comedy "Once Upon a Mattress," known for his awkward charm and central role in the kingdom’s marriage decree.
  • E. Insurgent
    "Insurgent" is a 2015 science-fiction action film based on Veronica Roth's novel, serving as the second installment in the Divergent series.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd3614481908b2694b1d3550058 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fed7888190b45f28ac91e0079e completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.