Triple

T7301779
Position Surface form Disambiguated ID Type / Status
Subject John McGraw E167873 entity
Predicate nickname P55 FINISHED
Object Little Napoleon E110540 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: Little Napoleon | Statement: [John McGraw, nickname, Little Napoleon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Napoleon
Context triple: [John McGraw, nickname, Little Napoleon]
  • A. Little Napoleon chosen
    Little Napoleon was the fiery, authoritarian Hall of Fame manager John McGraw, famed for leading the New York Giants to multiple early 20th-century championships.
  • B. Young Napoleon
    Young Napoleon was the nickname of Union General George B. McClellan, reflecting his reputation as an ambitious, highly organized but overly cautious commander during the American Civil War.
  • C. Little One
    Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
  • D. Petit Bé fort
    Petit Bé fort is a tidal island fortress off Saint-Malo, France, built in the late 17th century as part of the town’s coastal defenses.
  • E. Little Heroes
    Little Heroes is a cyberpunk science fiction novel by Norman Spinrad that explores the commercialization of music and culture in a near-future, media-saturated society.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb09164819099c4479d48c1688a completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e554833c8190ac124421379639bd completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3:01 p.m.