Triple

T11929826
Position Surface form Disambiguated ID Type / Status
Subject Muhammad Ali vs. Joe Frazier trilogy E283880 entity
Predicate styleContrast P7994 FINISHED
Object Ali as mobile boxer-puncher vs Frazier as pressure swarmer LITERAL 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: Ali as mobile boxer-puncher vs Frazier as pressure swarmer | Statement: [Muhammad Ali vs. Joe Frazier trilogy, styleContrast, Ali as mobile boxer-puncher vs Frazier as pressure swarmer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: styleContrast
Context triple: [Muhammad Ali vs. Joe Frazier trilogy, styleContrast, Ali as mobile boxer-puncher vs Frazier as pressure swarmer]
  • A. themeContrast chosen
    Indicates a relationship where two themes are compared or opposed to highlight their differences or tension.
  • B. achievesContrast
    Indicates that one entity creates or enhances a visual or conceptual difference relative to another entity.
  • C. registerContrast
    Indicates that an entity records or establishes a distinction or difference between two or more items or states.
  • D. createsContrastIn
    Indicates a relationship where one element is used to highlight or emphasize differences with another element within a given context.
  • E. styleVariants
    Indicates that an entity has alternative stylistic forms or versions related to it.
  • F. None of above.

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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90303a9a88190a4044e6310ba9b4b completed April 10, 2026, 2:02 p.m.
PD Predicate disambiguation batch_69d8bb3af0188190bfb22be5c97b3349 completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:45 p.m.