Triple

T13601352
Position Surface form Disambiguated ID Type / Status
Subject Cee-Lo Green and His Perfect Imperfections E324947 entity
Predicate featuresArtist P1952 FINISHED
Object Big Gipp E416774 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: Big Gipp | Statement: [Cee-Lo Green and His Perfect Imperfections, featuresArtist, Big Gipp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Gipp
Context triple: [Cee-Lo Green and His Perfect Imperfections, featuresArtist, Big Gipp]
  • A. Big Gipp chosen
    Big Gipp is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
  • B. Jumbo Joe
    Jumbo Joe is the longtime NHL star Joe Thornton, a high-scoring playmaking center known for his size, vision, and lengthy career with teams like the Boston Bruins and San Jose Sharks.
  • C. Buster Brown
    Buster Brown was an Australian blues-rock band best known as an early vehicle for future AC/DC drummer Phil Rudd.
  • D. Buster Brown
    Buster Brown was an influential American tap dancer and performer known for his smooth style, improvisational brilliance, and mentorship of later tap greats.
  • E. Big Jim
    Big Jim is the nickname of Jim McKay, a notable individual recognized by this moniker.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bcde38c8190bc773c3afce75723 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.