Triple

T8483505
Position Surface form Disambiguated ID Type / Status
Subject Good Grief E200773 entity
Predicate hasTrack P3284 FINISHED
Object Pulling Teeth E114521 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: Pulling Teeth | Statement: [Good Grief, hasTrack, Pulling Teeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pulling Teeth
Context triple: [Good Grief, hasTrack, Pulling Teeth]
  • A. Pulling Teeth chosen
    "Pulling Teeth" is a bass-driven punk rock track by Green Day, featured on their breakthrough 1994 album *Dookie*.
  • B. The Tooth Puller
    The Tooth Puller is a Baroque genre painting by Flemish artist Theodoor Rombouts depicting a dramatic scene of a dentist extracting a patient’s tooth, rendered in a Caravaggesque style with strong chiaroscuro and expressive figures.
  • C. With Teeth
    With Teeth is a 2005 industrial rock album by Nine Inch Nails that marked a more song-oriented, accessible turn in the band’s sound while retaining their dark, electronic edge.
  • D. The Tooth
    "The Tooth" is a short story by Shirley Jackson, included in her collection *The Lottery and Other Stories*, that blends psychological unease with elements of the uncanny.
  • E. Jawbreaker
    Jawbreaker is an influential American punk rock band known for its emotionally charged lyrics and key role in shaping the 1990s emo and punk scenes.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53845e881909eeb32863c7aa942 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a348a8481908a72c7ac15605022 completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:12 p.m.