Triple

T5253613
Position Surface form Disambiguated ID Type / Status
Subject Bullet Rogan E118644 entity
Predicate playedFor P2170 FINISHED
Object All Nations E506454 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: All Nations | Statement: [Bullet Rogan, playedFor, All Nations]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All Nations
Context triple: [Bullet Rogan, playedFor, All Nations]
  • A. All Nations chosen
    All Nations was a prominent early 20th-century barnstorming Negro league baseball team known for its racially diverse roster and extensive touring schedule.
  • B. Nationen
    Nationen is a Norwegian newspaper known for its focus on rural issues, agriculture, and district politics.
  • C. To the Nations
    To the Nations is the English rendering of the Latin title *Ad Gentes*, the Second Vatican Council’s decree on the Catholic Church’s missionary activity.
  • D. Table of Nations
    The Table of Nations is a biblical genealogy in Genesis 10 that traces the descendants of Noah’s sons and outlines the origins of the world’s nations.
  • E. Tapestry of Nations
    Tapestry of Nations was a large-scale, multicultural parade and musical spectacle from Disney’s Epcot that was adapted as the thematic basis for the Super Bowl XXXIV halftime show.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba1cca88190bebd516851b9bf7f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06bfa5e48190bc9313a39d95531e completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:50 p.m.