Triple

T6428198
Position Surface form Disambiguated ID Type / Status
Subject Wendell Willkie E128111 entity
Predicate notableWork P4 FINISHED
Object One World E394058 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: One World | Statement: [Wendell Willkie, notableWork, One World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One World
Context triple: [Wendell Willkie, notableWork, One World]
  • A. One World
    "One World" is a song by the American new wave band Taboo, recognized for its blend of catchy melodies and socially conscious lyrics.
  • B. One World chosen
    One World is a slogan and concept emphasizing global unity and shared humanity, often used in international events and campaigns promoting peace and cooperation.
  • C. One World
    One World is an imprint of Random House known for publishing socially engaged and culturally significant fiction and nonfiction.
  • D. Half of the World
    Half of the World is a famous nickname for the Iranian city of Isfahan, highlighting its historical grandeur, architectural splendor, and cultural significance.
  • E. All Around the World
    "All Around the World" is a song by the Black Eyed Peas featured on their album *Masters of the Sun Vol. 1*, blending hip hop and electronic influences.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06922a27881908c5571f2aa31e0c1 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640e678608190b5a1dcd1076bc1f2 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:44 p.m.