Triple

T16722967
Position Surface form Disambiguated ID Type / Status
Subject Champion Sound E406394 entity
Predicate hasPart P35 FINISHED
Object The Red E566144 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: The Red | Statement: [Champion Sound, hasPart, The Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Red
Context triple: [Champion Sound, hasPart, The Red]
  • A. The Red chosen
    "The Red" is a song by American rapper and producer J Dilla (then known as Jay Dee), featured on his influential debut solo album "Welcome 2 Detroit."
  • B. The Red and Blue
    The Red and Blue is a nickname commonly used for sports teams or organizations whose primary colors are red and blue, notably associated with Paris Saint-Germain Football Club.
  • C. Cờ Đỏ
    Cờ Đỏ is a rural district in Vietnam’s Mekong Delta region, known for its agricultural landscape and role in the administrative area of Cần Thơ.
  • D. El Rojo
    El Rojo is the famous nickname of Argentine football club Club Atlético Independiente, alluding to its traditional red colors and passionate identity.
  • E. The Red and the White
    The Red and the White is a 1967 Hungarian–Soviet war film directed by Miklós Jancsó, renowned for its stark black-and-white cinematography, long takes, and unflinching depiction of the chaos and brutality of the Russian Civil War.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e387449eb08190b174f8e142ea631b completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d43c49081908eca922da8f90793 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.