Triple

T14810953
Position Surface form Disambiguated ID Type / Status
Subject Laʼeeb E348174 entity
Predicate precededBy P97 FINISHED
Object Zabivaka E290487 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: Zabivaka | Statement: [Laʼeeb, precededBy, Zabivaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zabivaka
Context triple: [Laʼeeb, precededBy, Zabivaka]
  • A. Zabivaka chosen
    Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
  • B. Xombi
    Xombi is a Milestone Media comic book series that follows an immortal, nanotechnology-enhanced man battling supernatural and horror-themed threats.
  • C. Hell Razah
    Hell Razah is an American rapper best known as a member of the Wu-Tang Clan-affiliated group Sunz of Man and for his spiritually themed, underground hip-hop work.
  • D. Garou
    Garou is a Canadian pop singer and actor best known for his breakout role as Quasimodo in the hit French musical "Notre-Dame de Paris" and for a successful francophone music career.
  • E. Crowbar
    Crowbar is an American sludge metal band from New Orleans, Louisiana, known for its extremely heavy, slow riffs and influential role in the development of the sludge and doom metal genres.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf35a5e081909321193ef37099d1 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24ca88748190ae9e66bac5324e25 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:46 a.m.