Triple

T15900787
Position Surface form Disambiguated ID Type / Status
Subject The Waitresses E385582 entity
Predicate hasMember P10 FINISHED
Object Ralph Carney E593880 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: Ralph Carney | Statement: [The Waitresses, hasMember, Ralph Carney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Carney
Context triple: [The Waitresses, hasMember, Ralph Carney]
  • A. Ralph Carney chosen
    Ralph Carney was an American multi-instrumentalist and saxophonist best known for his work with Tom Waits and various rock and experimental music projects.
  • B. R.B. Carney
    R.B. Carney is a television writer and producer best known for co-creating the long-running Canadian detective drama series "Murdoch Mysteries."
  • C. Jimmy McCracklin
    Jimmy McCracklin was an American West Coast blues pianist, singer, and songwriter known for his influential R&B recordings and long, prolific career.
  • D. Abe Cunningham
    Abe Cunningham is an American drummer best known as the longtime percussionist for the alternative metal band Deftones.
  • E. Anthony Hancock
    Anthony Hancock is a bumbling, downtrodden everyman character portrayed by British comedian Tony Hancock, known for his pessimistic wit and social awkwardness.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563cd2f081909404d724ecc8785a completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04f3ea08190b5581768770677e8 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.