Triple

T22065412
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi G4M E545254 entity
Predicate NATOOrAlliedReportingName P92974 FINISHED
Object Betty NE NERFINISHED

How this triple was built (3 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: Betty | Statement: [Mitsubishi G4M, NATOOrAlliedReportingName, Betty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty
Context triple: [Mitsubishi G4M, NATOOrAlliedReportingName, Betty]
  • A. Betty
    Betty is the nickname of Australian sprinter and four-time Olympic gold medalist Betty Cuthbert, famed for her dominance in the 1956 Melbourne Games.
  • B. Betty
    Betty is the familiar nickname of Betty Ford, the former First Lady of the United States and founder of the Betty Ford Center for substance abuse treatment.
  • C. Betty
    Betty is the birth name of iconic American actress Lauren Bacall, a legendary figure of Hollywood's Golden Age.
  • D. Betty chosen
    "Betty" is the Allied reporting name for the Mitsubishi G4M, a Japanese World War II twin-engine land-based bomber known for its long range and vulnerability due to lack of armor and self-sealing fuel tanks.
  • E. Betty
    Betty is the troubled, passionate young woman at the center of the French cult film "Betty Blue," whose intense love affair and psychological unraveling drive the story.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: NATOOrAlliedReportingName
Context triple: [Mitsubishi G4M, NATOOrAlliedReportingName, Betty]
  • A. NATOname chosen
    Indicates that an entity has a specific official name as recognized or used by NATO.
  • B. NATOcode
    Indicates that there is a specified NATO (North Atlantic Treaty Organization) code assigned to or associated with an entity.
  • C. NATOCategory
    Indicates that an entity is classified according to a specific NATO-defined category or designation.
  • D. isNATOAllyOf
    Indicates that one entity is a member of NATO and has a formal alliance relationship with the other entity within the NATO framework.
  • E. alliedCodeName
    Indicates that one entity is known or referred to by a specific code name within an allied or cooperative context.
  • F. None of above.

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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12883d2108190a6127783f8f635fc completed April 28, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69e6f64a6a70819089d1a6c3a2384861 completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 8:27 p.m.