Triple

T8428244
Position Surface form Disambiguated ID Type / Status
Subject Oral Fixation, Vol. 2 E199054 entity
Predicate hasTrack P3284 FINISHED
Object Something E228251 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: Something | Statement: [Oral Fixation, Vol. 2, hasTrack, Something]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Something
Context triple: [Oral Fixation, Vol. 2, hasTrack, Something]
  • A. Something chosen
    "Something" is a widely acclaimed love song by George Harrison, featured on the Beatles' 1969 album Abbey Road and regarded as one of his finest compositions.
  • B. Thing
    Thing is the disembodied, sentient hand that serves as a loyal and quirky helper to the eccentric Addams family.
  • C. Things
    "Things" is a 1962 pop song written and performed by American singer Bobby Darin, known for its catchy melody and enduring popularity.
  • D. Things
    Things is a philosophical work by Stephen Yablo that explores the nature of objects, existence, and metaphysical commitment.
  • E. Something There
    "Something There" is a romantic duet from the stage musical adaptation of Disney's Beauty and the Beast, in which Belle and the Beast begin to recognize their growing affection for each other.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd124378c819086ea2fa6ecbfffe1 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce036dec9481908564ea2828ea429b completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:07 p.m.