Triple

T6267642
Position Surface form Disambiguated ID Type / Status
Subject The Sweet Inspirations E140453 entity
Predicate member P10 FINISHED
Object Myrna Smith E255321 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: Myrna Smith | Statement: [The Sweet Inspirations, member, Myrna Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myrna Smith
Context triple: [The Sweet Inspirations, member, Myrna Smith]
  • A. Myrna Smith chosen
    Myrna Smith was an American soul and gospel singer best known as a member of the vocal group The Sweet Inspirations, who frequently recorded and toured with artists like Elvis Presley and Aretha Franklin.
  • B. Myrna Fahey
    Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
  • C. Gloria Foster
    Gloria Foster was an American actress best known for her acclaimed stage work and for portraying the Oracle in the first two films of The Matrix trilogy.
  • D. Gloria Millington
    Gloria Millington is a fictional character from the "Kingdom" series, known for her role within its dramatic, character-driven storyline.
  • E. Myrna Dell
    Myrna Dell was an American film and television actress known for her roles in 1940s and 1950s Hollywood productions, particularly in film noir and B-movies.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063a0f2548190a2f5c307bc5a67cf completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c669d6ff748190b77d5a2c9cbe506b completed March 27, 2026, 11:28 a.m.
Created at: March 22, 2026, 4:25 p.m.