Triple

T13259373
Position Surface form Disambiguated ID Type / Status
Subject Mike Patton E315746 entity
Predicate associatedAct P37 FINISHED
Object Mondo Cane E1030012 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: Mondo Cane | Statement: [Mike Patton, associatedAct, Mondo Cane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mondo Cane
Context triple: [Mike Patton, associatedAct, Mondo Cane]
  • A. Mondo Cane chosen
    Mondo Cane is a musical project led by Mike Patton that features orchestral arrangements of 1950s and 1960s Italian pop songs.
  • B. Gummo
    Gummo is a breakout 2017 single by American rapper Tekashi 6ix9ine known for its aggressive style and viral success.
  • C. Gummo
    Gummo is a 1997 experimental drama film directed by Harmony Korine, known for its disturbing, fragmented portrayal of life in a tornado-ravaged Ohio town.
  • D. Cannavale
    Cannavale is an Italian-origin surname most notably associated with American actor Bobby Cannavale.
  • E. Carnivàle
    Carnivàle is an American HBO television drama series set during the Great Depression that blends dark fantasy, mysticism, and a traveling carnival backdrop to explore an epic struggle between good and evil.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f778088819082b8a596c04bfe02 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716cac5388190a839ec1dbdcdbf82 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:25 p.m.