Triple

T21040908
Position Surface form Disambiguated ID Type / Status
Subject Carry On Cowboy E518318 entity
Predicate musicBy P1952 FINISHED
Object Eric Rogers 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: Eric Rogers | Statement: [Carry On Cowboy, musicBy, Eric Rogers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Rogers
Context triple: [Carry On Cowboy, musicBy, Eric Rogers]
  • A. Eric Rogers chosen
    Eric Rogers was a British composer and conductor best known for scoring many of the "Carry On" comedy films.
  • B. Michael Rogers
    Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • C. Matt Rogers
    Matt Rogers is an American entrepreneur and engineer best known as the co-founder of Nest Labs, the smart home technology company behind the Nest Thermostat.
  • D. Ken Rogerson
    Ken Rogerson is a film editor known for his work on the animated dark fantasy film "Mad God."
  • E. Mat Rogers
    Mat Rogers is an Australian former dual-code rugby international who played both rugby league and rugby union at elite levels, including representing Australia and starring in the NRL.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcefe4688190ad1bed1ef2d7a3e5 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:15 p.m.