Triple

T12480760
Position Surface form Disambiguated ID Type / Status
Subject My Baby Loves Me E298296 entity
Predicate writer P1360 FINISHED
Object Sylvia Moy E326176 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: Sylvia Moy | Statement: [My Baby Loves Me, writer, Sylvia Moy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvia Moy
Context triple: [My Baby Loves Me, writer, Sylvia Moy]
  • A. Sylvia Moy chosen
    Sylvia Moy was an influential American songwriter and producer best known for her work at Motown Records, where she co-wrote numerous hits for artists such as Stevie Wonder.
  • B. Peggy Cherng
    Peggy Cherng is a Chinese-American engineer and entrepreneur best known as the co-founder and co-CEO of the Panda Restaurant Group, which operates the Panda Express restaurant chain.
  • C. Patricia Chin
    Patricia Chin is a pioneering Jamaican music producer and entrepreneur best known as the co-founder of the influential reggae and dancehall label VP Records.
  • D. Rita Hsiao
    Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
  • E. Lila Lee
    Lila Lee was a popular American silent film actress of the 1910s and 1920s, known for her girl-next-door charm and roles in major productions of the era.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcdcd3c81908ad29145db241408 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556c8e4c8190aa7df1defb4cce78 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:56 p.m.