Triple

T16498955
Position Surface form Disambiguated ID Type / Status
Subject The Charlatans E400753 entity
Predicate hasKeyboardist P22076 FINISHED
Object Tony Rogers E1216689 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: Tony Rogers | Statement: [The Charlatans, hasKeyboardist, Tony Rogers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Rogers
Context triple: [The Charlatans, hasKeyboardist, Tony Rogers]
  • A. Tony Rogers chosen
    Tony Rogers is an English musician best known as the longtime keyboardist for the alternative rock band The Charlatans.
  • B. Rodger Bain
    Rodger Bain is a British record producer best known for his work on Black Sabbath’s early, genre-defining heavy metal albums.
  • C. George McRae
    George McRae was a Scottish-born Australian architect best known for designing prominent public buildings in Sydney, including the Queen Victoria Building.
  • D. Ronnie Moran
    Ronnie Moran was a long-serving Liverpool FC coach and caretaker manager, renowned as a key figure in the club’s famed “Boot Room” era.
  • E. Paul Rogers
    Paul Rogers is an American film editor best known for his Academy Award–winning work on the multiverse film "Everything Everywhere All at Once."
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e35b96881908c9d339eea9e4314 completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607cbc80819088505d8bdd663109 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:14 a.m.