Triple

T8753001
Position Surface form Disambiguated ID Type / Status
Subject Mahala E208004 entity
Predicate nameVariantOf P39 FINISHED
Object Mahalia E66398 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: Mahalia | Statement: [Mahala, nameVariantOf, Mahalia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahalia
Context triple: [Mahala, nameVariantOf, Mahalia]
  • A. Mahalia chosen
    Mahalia is a British R&B and soul singer-songwriter known for her smooth vocals and introspective, relationship-focused lyrics.
  • B. Solomon Song
    "Solomon Song" is a musical number associated with the character Jenny Diver in the classic German musical drama "The Threepenny Opera" by Bertolt Brecht and Kurt Weill.
  • C. Brownie McGhee
    Brownie McGhee was an influential American blues singer and guitarist best known for his long partnership with harmonica player Sonny Terry and his contributions to the Piedmont blues style.
  • D. Moses Ingram
    Moses Ingram is an American actress known for her breakout role in the Netflix miniseries "The Queen's Gambit" and for subsequent prominent performances in film and television.
  • E. Jheri Redding
    Jheri Redding was an American hair care entrepreneur, chemist, and product innovator widely regarded as a pioneer of the modern professional hair care industry.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da8cc548190a31ad542d2faf2d5 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4326d8cc8190900f5f91da6ef6c8 completed April 3, 2026, 4:33 a.m.
Created at: March 30, 2026, 6:39 p.m.