Triple

T10007617
Position Surface form Disambiguated ID Type / Status
Subject Kaleidoscope Heart E198291 entity
Predicate producer P490 FINISHED
Object Sam Farrar E273122 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: Sam Farrar | Statement: [Kaleidoscope Heart, producer, Sam Farrar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Farrar
Context triple: [Kaleidoscope Heart, producer, Sam Farrar]
  • A. Sam Farrar chosen
    Sam Farrar is an American musician, songwriter, and producer best known as a touring and later official member of the pop rock band Maroon 5.
  • B. Jason Flemyng
    Jason Flemyng is an English actor known for his character roles in films such as "Lock, Stock and Two Smoking Barrels," "Snatch," and various Hollywood and British productions.
  • C. Michael Morrow
    Michael Morrow is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Morrow.
  • D. Sam Endicott
    Sam Endicott is an American musician and songwriter best known as the lead singer of the rock band The Bravery and for writing hit pop songs for artists like Shakira.
  • E. Hugh Frayne
    Hugh Frayne was an American labor leader and union official who played a significant role in coordinating labor relations and production during World War I.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd187fe481908556ea896c528ea4 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb8b92b0819081e5ac52e2f4f27e completed April 5, 2026, 8:52 p.m.
Created at: March 30, 2026, 8:52 p.m.