Triple

T14946552
Position Surface form Disambiguated ID Type / Status
Subject Backyard Brawl E372676 entity
Predicate hasNickname P39 FINISHED
Object Backyard Brawl E372676 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: Backyard Brawl | Statement: [Backyard Brawl, hasNickname, Backyard Brawl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Backyard Brawl
Context triple: [Backyard Brawl, hasNickname, Backyard Brawl]
  • A. Backyard Brawl chosen
    Backyard Brawl is the long-standing, intense college sports rivalry between West Virginia University and the University of Pittsburgh.
  • B. The Big Brawl
    The Big Brawl is a 1980 martial arts action-comedy film starring Jackie Chan in his first major Hollywood role.
  • C. Brawl of the Wild
    Brawl of the Wild is the long-standing college football rivalry game between the University of Montana Grizzlies and the Montana State Bobcats.
  • D. Boneyard Match
    The Boneyard Match is a cinematic, graveyard-themed professional wrestling bout popularized by WWE as a dramatic, story-driven spectacle.
  • E. SuperBrawl
    SuperBrawl was a major annual professional wrestling pay-per-view event produced by World Championship Wrestling, known for featuring high-profile championship matches and marquee storylines.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68e35c481908e47cd68441c5115 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e963c548190b3a06ffbbb3298b2 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:39 a.m.