Triple

T11431017
Position Surface form Disambiguated ID Type / Status
Subject Teach Me Tonight E270878 entity
Predicate hasNotableRecordingBy P1152 FINISHED
Object Phoebe Snow E340792 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: Phoebe Snow | Statement: [Teach Me Tonight, hasNotableRecordingBy, Phoebe Snow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phoebe Snow
Context triple: [Teach Me Tonight, hasNotableRecordingBy, Phoebe Snow]
  • A. Phoebe Snow chosen
    Phoebe Snow was an American singer-songwriter known for her rich, jazz-inflected vocals and her 1974 hit single "Poetry Man."
  • B. Phoebe Brand
    Phoebe Brand was an American stage actress best known for her work in socially conscious theater and her association with the influential 20th-century New York theater scene.
  • C. Amy Rydell
    Amy Rydell is an actress known for her role in the 2001 biographical television film "James Dean."
  • D. Tina Snow
    Tina Snow is an alter ego and early mixtape title of American rapper Megan Thee Stallion, embodying her confident, hardcore Southern rap persona.
  • E. Betsy Rue
    Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c30d788190b0c939b33de89277 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8e212088190b611333d5de05757 completed April 20, 2026, 5:25 a.m.
Created at: April 8, 2026, 9:35 p.m.