Triple

T21515758
Position Surface form Disambiguated ID Type / Status
Subject Monkey Man E530836 entity
Predicate hasCoverVersionBy P11142 FINISHED
Object Fishbone NE NERFINISHED

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: [Monkey Man, hasCoverVersionBy, Fishbone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fishbone
Context triple: [Monkey Man, hasCoverVersionBy, 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. Skeletun
    Skeletun is a popular Nigerian Afrobeats song by Tekno known for its catchy rhythm and danceable vibe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee81416f288190a62f62ddd6895b24 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 6:25 p.m.