Triple

T11722945
Position Surface form Disambiguated ID Type / Status
Subject Institute E278683 entity
Predicate hasDrummer P15280 FINISHED
Object Charlie Walker E942908 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: Charlie Walker | Statement: [Institute, hasDrummer, Charlie Walker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Walker
Context triple: [Institute, hasDrummer, Charlie Walker]
  • A. Charlie Walker chosen
    Charlie Walker is a member of an academic or research institute, likely contributing to its scholarly or professional activities.
  • B. Hal Walker
    Hal Walker was an American film director best known for his work on mid-20th-century Hollywood comedies, including several popular Bing Crosby and Bob Hope "Road to..." films.
  • C. Billy Walker
    Billy Walker is a collegiate sports administrator best known for serving as the athletic director at American University, overseeing the university’s NCAA Division I athletic programs.
  • D. Billy Walker
    Billy Walker was an American country music singer and guitarist known for his smooth vocal style and a string of hits from the 1950s through the 1970s.
  • E. Charlie Cooke
    Charlie Cooke is a Scottish former professional footballer best known as a skillful winger for Chelsea in the 1960s and 1970s.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c373088190bc2ae77a1696d280 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0198de0708190bc3f6ec2533c8a5b completed April 28, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:40 p.m.