Triple

T23443729
Position Surface form Disambiguated ID Type / Status
Subject Bobby Lee E565474 entity
Predicate coHostOf P5275 FINISHED
Object TigerBelly 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: TigerBelly | Statement: [Bobby Lee, coHostOf, TigerBelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TigerBelly
Context triple: [Bobby Lee, coHostOf, TigerBelly]
  • A. TigerBelly chosen
    TigerBelly is a comedy podcast and video show hosted by comedian Bobby Lee, known for its candid conversations, offbeat humor, and behind-the-scenes stories from the entertainment world.
  • B. Copperbelly
    Copperbelly is a song by the Red Hot Chili Peppers featured on their 2022 album "Return of the Dream Canteen."
  • C. Tigery
    Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
  • D. Tigaki
    Tigaki is a small seaside resort village on the Greek island of Kos, known for its long sandy beach and tourist facilities.
  • E. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64717d08190a2c25e7bbfc17a2f completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:51 p.m.