Triple

T16641347
Position Surface form Disambiguated ID Type / Status
Subject No Shame E404343 entity
Predicate hasPart P35 FINISHED
Object Pushing Up Daisies E139560 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: Pushing Up Daisies | Statement: [No Shame, hasPart, Pushing Up Daisies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pushing Up Daisies
Context triple: [No Shame, hasPart, Pushing Up Daisies]
  • A. Pushing Daisies chosen
    Pushing Daisies is a whimsical, visually stylized fantasy-mystery television series that follows a pie-maker who can temporarily bring the dead back to life, blending romance, dark humor, and fairy-tale narration.
  • B. Drop the Dead Donkey
    Drop the Dead Donkey is a British satirical sitcom set in a chaotic TV newsroom, known for its topical humor and sharp political commentary.
  • C. One Foot in the Grave
    One Foot in the Grave is an early lo-fi indie folk album by American musician Beck, showcasing his experimental, acoustic-driven songwriting.
  • D. Bored to Death
    Bored to Death is an American comedy television series that blends noir detective tropes with offbeat humor, following a struggling writer who moonlights as an unlicensed private investigator in Brooklyn.
  • E. Avenue K
    Avenue K is a modern shopping mall and lifestyle destination located in the heart of Kuala Lumpur City Centre, Malaysia.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad1a7748190aa9308d4e96c566c completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bb4cec819091d9b7b2a09248ee completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.