Triple

T13641993
Position Surface form Disambiguated ID Type / Status
Subject All I Do E325999 entity
Predicate hasMusicalArtist P9648 FINISHED
Object Betty Wright E1053623 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: Betty Wright | Statement: [All I Do, hasMusicalArtist, Betty Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty Wright
Context triple: [All I Do, hasMusicalArtist, Betty Wright]
  • A. Betty Wright
    Betty Wright is the wife of former U.S. House Speaker Jim Wright and served as his partner and supporter throughout his long political career.
  • B. Betty Wright chosen
    Betty Wright was an American soul and R&B singer best known for her powerful vocals and hits like "Clean Up Woman," who became an influential figure in Miami's music scene.
  • C. Barbara Bach
    Barbara Bach is an American actress and former model best known for playing Bond girl Anya Amasova in the James Bond film "The Spy Who Loved Me."
  • D. Elaine Hendrix
    Elaine Hendrix is an American actress best known for playing the glamorous and scheming Meredith Blake in the 1998 film "The Parent Trap."
  • E. Diana Lynn
    Diana Lynn was an American film and television actress best known for her work in 1940s and 1950s Hollywood comedies and dramas.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5ac2af88190976abe6606994eef completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943306f08190b3a4c44e5b22db0a completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:51 p.m.