Triple

T6514965
Position Surface form Disambiguated ID Type / Status
Subject A Comedy of Murders E148232 entity
Predicate author P4 FINISHED
Object Michael Chaplin E27481 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: Michael Chaplin | Statement: [A Comedy of Murders, author, Michael Chaplin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Chaplin
Context triple: [A Comedy of Murders, author, Michael Chaplin]
  • A. Michael Chaplin chosen
    Michael Chaplin is an English actor and writer best known as one of the sons of legendary filmmaker Charlie Chaplin.
  • B. Tom Chaplin
    Tom Chaplin is an English singer-songwriter best known as the lead vocalist of the alternative rock band Keane.
  • C. John Chancellor
    John Chancellor was a British colonial administrator and diplomat who served in several high-ranking imperial posts during the early 20th century.
  • D. John Chancellor
    John Chancellor was a prominent American television journalist and news anchor best known for his long tenure as a leading figure in network evening news during the mid-20th century.
  • E. Anthony Phillips
    Anthony Phillips is an English guitarist and composer best known as a founding member and early guitarist of the rock band Genesis before establishing a prolific solo and library music career.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0bea808190aebc2905fb53eeba completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5125c448190bf47843fcac66efe completed March 27, 2026, 7:05 p.m.
Created at: March 27, 2026, 1:44 p.m.