Triple

T1951810
Position Surface form Disambiguated ID Type / Status
Subject Get on Up E42174 entity
Predicate editor P1954 FINISHED
Object Michael McCusker E223312 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 McCusker | Statement: [Get on Up, editor, Michael McCusker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael McCusker
Context triple: [Get on Up, editor, Michael McCusker]
  • A. Michael McCusker chosen
    Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
  • B. Brian Callaghan
    Brian Callaghan is a personal name shared by multiple individuals, typically of Irish or British origin, who may be notable in various professional or public contexts.
  • C. Kevin O'Connor
    Kevin O'Connor is an American entrepreneur best known as the co-founder and former CEO of the online advertising company DoubleClick.
  • D. Sean McDonough
    Sean McDonough is an American sportscaster best known for his long career calling Major League Baseball and college sports on national television.
  • E. Rob McKenna
    Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb34eb5748190a3ac395252951eba completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce7154648190aa55d54ca5e50559 completed March 10, 2026, 7:55 a.m.
Created at: March 4, 2026, 7:36 p.m.