Triple

T2988424
Position Surface form Disambiguated ID Type / Status
Subject Joe DiMaggio E80686 entity
Predicate hasNickname P39 FINISHED
Object The Yankee Clipper E80686 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: The Yankee Clipper | Statement: [Joe DiMaggio, hasNickname, The Yankee Clipper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Yankee Clipper
Context triple: [Joe DiMaggio, hasNickname, The Yankee Clipper]
  • A. The Yankee Clipper chosen
    The Yankee Clipper was the legendary New York Yankees center fielder Joe DiMaggio, famed for his graceful play and his record 56-game hitting streak.
  • B. Yankee Clipper
    Yankee Clipper was the Apollo 12 command and service module spacecraft that carried astronauts to lunar orbit during NASA’s second Moon-landing mission.
  • C. SPEEDBIRD
    SPEEDBIRD is the radio callsign used by British Airways for its commercial flight operations.
  • D. Havana on the Hudson
    Havana on the Hudson is a nickname for Union City, New Jersey, reflecting its large Cuban-American community and vibrant Latin American culture.
  • E. The Belle of New York
    The Belle of New York is a 1952 Technicolor musical film starring Fred Astaire as a charming playboy whose pursuit of a devout Salvation Army worker leads to whimsical, dance-filled romance in turn-of-the-century New York City.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c9cdd081908fa8094a3ac1f8d3 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e3654388190beeb1c6b2a629b85 completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:59 p.m.