Triple

T21730601
Position Surface form Disambiguated ID Type / Status
Subject Coral Trophy E536393 entity
Predicate sponsor P67 FINISHED
Object Coral NE NERFINISHED

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: Coral | Statement: [Coral Trophy, sponsor, Coral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coral
Context triple: [Coral Trophy, sponsor, Coral]
  • A. Coral chosen
    Coral is a major UK-based betting and gaming company known for its nationwide chain of bookmakers and online gambling services.
  • B. Coral
    Coral is a minor but pivotal character in Pixar's animated film "Finding Nemo," known as Marlin's mate and the mother of Nemo whose death sets the story in motion.
  • C. The Coral
    The Coral are an English rock band known for their eclectic blend of indie rock, psychedelia, and folk influences, particularly prominent in the early 2000s UK music scene.
  • D. Coralli
    Coralli is an Italian surname most notably associated with Jean Coralli, a 19th-century ballet master and choreographer of the Romantic era.
  • E. Black Coral
    "Black Coral" is a rock song by the Stills-Young Band, the short-lived collaboration between Stephen Stills and Neil Young in the mid-1970s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd064fcc819084852b4248f65a81 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.