Triple

T15492953
Position Surface form Disambiguated ID Type / Status
Subject Guinn "Big Boy" Williams E378742 entity
Predicate nickname P55 FINISHED
Object Big Boy E1055143 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: Big Boy | Statement: [Guinn "Big Boy" Williams, nickname, Big Boy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Boy
Context triple: [Guinn "Big Boy" Williams, nickname, Big Boy]
  • A. Big Boy
    "Big Boy" is the first released song by the Jackson 5, marking the group's recording debut before they rose to international fame with Motown.
  • B. Big Boy
    Big Boy is a prominent character in Jamaican folklore, often depicted as a larger-than-life figure whose adventures and traits reflect local cultural values and storytelling traditions.
  • C. Big Boy chosen
    Big Boy is an American fast-food restaurant chain best known for its double-decker hamburgers and iconic overall-clad mascot.
  • D. Big Meat
    Big Meat is a supporting criminal figure in the 2006 action-crime film "Waist Deep."
  • E. Wimpy
    Wimpy is a gluttonous, hamburger-loving character from the Popeye franchise, known for his polite demeanor and humorous attempts to get others to buy him food.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3660fc6c81908caf1729260a8338 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:49 a.m.