Triple

T12811063
Position Surface form Disambiguated ID Type / Status
Subject Peter Michael Goetz E306270 entity
Predicate notableWork P4 FINISHED
Object My Girl (film) E337209 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: My Girl (film) | Statement: [Peter Michael Goetz, notableWork, My Girl (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My Girl (film)
Context triple: [Peter Michael Goetz, notableWork, My Girl (film)]
  • A. My Girl 2
    My Girl 2 is a 1994 coming-of-age comedy-drama film and sequel to "My Girl," following a young girl's emotional journey as she uncovers more about her late mother.
  • B. My Girl
    "My Girl" is a classic 1964 soul song by The Temptations, celebrated for its smooth vocals, memorable bassline, and enduring status as one of Motown's signature hits.
  • C. My Girl chosen
    My Girl is a 1991 coming-of-age comedy-drama film about an 11-year-old girl coping with loss and growing up, co-starring Dan Aykroyd, Jamie Lee Curtis, and Macaulay Culkin.
  • D. My Girl to Me
    "My Girl to Me" is a song by the American indie rock band Local Natives from their debut album "Gorilla Manor."
  • E. My Girls
    "My Girls" is a song by Christina Aguilera from her 2010 electro-pop album *Bionic*, blending dance-pop production with themes of female camaraderie and empowerment.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e817598819080fdd61e9d61236e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eca9b448190a819b3807fdbc3f8 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.