Triple

T3138404
Position Surface form Disambiguated ID Type / Status
Subject The Game E65586 entity
Predicate alternativeName P39 FINISHED
Object Chuck Taylor E238169 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: Chuck Taylor | Statement: [The Game, alternativeName, Chuck Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chuck Taylor
Context triple: [The Game, alternativeName, Chuck Taylor]
  • A. Marquis Mills Converse chosen
    Marquis Mills Converse was an American entrepreneur best known for founding the Converse Rubber Shoe Company, which later became famous worldwide for its Converse sneakers.
  • B. Gray Frederickson
    Gray Frederickson was an American film producer best known for his work on landmark movies such as The Godfather Part II and Apocalypse Now.
  • C. Stan Smith
    Stan Smith is the ultra-patriotic, often clueless CIA agent and main character of the animated television series "American Dad!"
  • D. Terry Leather
    Terry Leather is the fictional small-time London crook who leads a daring 1971 bank heist in the British crime film "The Bank Job."
  • E. Blake Mycoskie
    Blake Mycoskie is an American entrepreneur and philanthropist best known as the founder of TOMS Shoes and the pioneer of the “One for One” social enterprise model.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada574509c81908a88bb10ea35516d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f8b2ae4819085210a722e8650ca completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:05 p.m.