Triple

T19872852
Position Surface form Disambiguated ID Type / Status
Subject Let It Go E477562 entity
Predicate writer P1360 FINISHED
Object Cainon Lamb 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: Cainon Lamb | Statement: [Let It Go, writer, Cainon Lamb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cainon Lamb
Context triple: [Let It Go, writer, Cainon Lamb]
  • A. Cainon Lamb chosen
    Cainon Lamb is an American music producer known for his work in hip-hop and R&B, including collaborations with artists such as Missy Elliott.
  • B. Caleb Lyon
    Caleb Lyon was a 19th-century American politician and designer best known for creating the Great Seal of the State of California.
  • C. Kearran Giovanni
    Kearran Giovanni is an American actress best known for her role as Detective Amy Sykes on the television crime drama series "Major Crimes."
  • D. Caleb Ashworth
    Caleb Ashworth was an 18th-century English dissenting minister and educator who led one of the prominent Dissenting Academies, helping train nonconformist clergy and intellectuals outside the established Church of England.
  • E. Caleb Serong
    Caleb Serong is an Australian rules footballer for the Fremantle Dockers in the AFL, known as one of the league’s standout young midfielders.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d826f88190be04188997952d1b completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.