Triple

T7320306
Position Surface form Disambiguated ID Type / Status
Subject Charlie Parker E168524 entity
Predicate notableWork P4 FINISHED
Object Ko-Ko E121972 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: Ko-Ko | Statement: [Charlie Parker, notableWork, Ko-Ko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ko-Ko
Context triple: [Charlie Parker, notableWork, Ko-Ko]
  • A. Ko-Ko chosen
    "Ko-Ko" is a landmark 1945 bebop recording by saxophonist Charlie Parker, renowned for its blistering tempo, complex improvisation, and foundational influence on modern jazz.
  • B. Ko-Ko
    Ko-Ko is the comic Lord High Executioner of Titipu in Gilbert and Sullivan’s operetta "The Mikado," known for his bumbling demeanor and satirical "little list" song.
  • C. Kwan
    Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • D. Roro Chu
    Roro Chu is a river flowing in the region of Gangtok in the Indian state of Sikkim.
  • E. Shen Te
    Shen Te is the central character in Bertolt Brecht’s play "The Good Person of Szechwan," a compassionate but struggling woman whose attempts to live morally in a corrupt society force her to adopt a harsher alter ego.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef1a7a3c81909504eb711056f302 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef01ea8c819091cd4106039c121e completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.