Triple

T14317846
Position Surface form Disambiguated ID Type / Status
Subject New York Giants E355002 entity
Predicate hasNickName P39 FINISHED
Object G-Men E3077 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: G-Men | Statement: [New York Giants, hasNickName, G-Men]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: G-Men
Context triple: [New York Giants, hasNickName, G-Men]
  • A. G-Men chosen
    G-Men is a popular nickname for the New York Giants, the professional American football team based in the New York metropolitan area.
  • B. T-Men
    T-Men is a 1947 film noir crime drama directed by Anthony Mann, renowned for its gritty semi-documentary style and stark, expressionistic cinematography.
  • C. Peter Gunn
    "Peter Gunn" is a jazz-influenced television theme composed by Henry Mancini, later famously reinterpreted in a synth-pop arrangement by the Art of Noise.
  • D. The Murder Men
    The Murder Men is a crime drama film featuring Peter Mark Richman in a prominent role.
  • E. Have Gun – Will Travel
    Have Gun – Will Travel is a classic American Western television series from the late 1950s and early 1960s that follows the adventures of a sophisticated, gun-for-hire troubleshooter known as Paladin.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883a93548190ac671b001d15d0bd completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd468a3b788190812ff0eed84fd139 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:13 a.m.