Triple

T11953281
Position Surface form Disambiguated ID Type / Status
Subject David Kahne E284480 entity
Predicate hasWorkedWith P9615 FINISHED
Object Fishbone E776452 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: Fishbone | Statement: [David Kahne, hasWorkedWith, Fishbone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fishbone
Context triple: [David Kahne, hasWorkedWith, Fishbone]
  • A. Fishbone chosen
    Fishbone is an American alternative rock band known for its eclectic fusion of ska, punk, funk, and soul, and its energetic, politically charged performances.
  • B. The Bones
    "The Bones" is a hit country-pop song by American singer-songwriter Maren Morris, known for its metaphor-rich lyrics about the strength and resilience of a relationship.
  • C. Monkeybone
    Monkeybone is a 2001 dark fantasy–comedy film that blends live action and animation in a surreal story about a cartoonist trapped in a bizarre dream world.
  • D. Wish Bone
    Wish Bone is an American rapper best known as a member of the Cleveland hip hop group Bone Thugs-n-Harmony.
  • E. Wishbone
    Wishbone is a mobile social networking app that lets users compare and vote between two options in quick, image-based polls.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90365da288190a132703df563de23 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4590584608190bc00840c43f115a0 completed May 1, 2026, 7:40 a.m.
Created at: April 8, 2026, 9:45 p.m.