Triple

T23242131
Position Surface form Disambiguated ID Type / Status
Subject Big Tigger Live on the Radio E581481 entity
Predicate features P997 FINISHED
Object Big Tigger 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: Big Tigger | Statement: [Big Tigger Live on the Radio, features, Big Tigger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Tigger
Context triple: [Big Tigger Live on the Radio, features, Big Tigger]
  • A. Big Tigger chosen
    Big Tigger is an American television and radio personality best known for hosting BET’s hip-hop show "Rap City" and his work as a prominent urban radio DJ.
  • B. Dick Tiger
    Dick Tiger was a Nigerian professional boxer and two-time world middleweight champion renowned for his toughness, stamina, and technical skill in the 1950s and 1960s.
  • C. Teddy Zee
    Teddy Zee is a Hollywood film and television producer and former studio executive known for his work on popular movies such as "Hitch" and "The Pursuit of Happyness."
  • D. Timbo King
    Timbo King is an American rapper best known as a prominent affiliate of the Wu-Tang Clan and leader of the group Royal Fam.
  • E. Billy Tubbs
    Billy Tubbs was an American college basketball coach best known for his up-tempo, high-scoring teams, particularly during his successful tenure at the University of Oklahoma.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ef109881908c8fba7316c90910 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:10 p.m.