Triple

T10008740
Position Surface form Disambiguated ID Type / Status
Subject Bloodbuzz Ohio E198315 entity
Predicate hasTitleWord P3254 FINISHED
Object Bloodbuzz E198315 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: Bloodbuzz | Statement: [Bloodbuzz Ohio, hasTitleWord, Bloodbuzz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bloodbuzz
Context triple: [Bloodbuzz Ohio, hasTitleWord, Bloodbuzz]
  • A. Blodsugarna
    Blodsugarna is a novel by Swedish author Mikael Niemi that blends dark humor and social commentary, characteristic of his inventive and often satirical storytelling style.
  • B. Skitters
    Skitters are an insectoid alien species that serve as primary ground troops and antagonists in the science fiction television series "Falling Skies."
  • C. Bloodbuzz Ohio chosen
    "Bloodbuzz Ohio" is a brooding, anthemic indie rock song by The National, known for its driving rhythm, melancholic lyrics, and Matt Berninger’s distinctive baritone vocals.
  • D. Blooded
    "Blooded" is a track by rapper Lil Wayne from his acclaimed mixtape Da Drought 3, known for its aggressive lyrics and intricate wordplay.
  • E. Blatant Beast
    The Blatant Beast is a monstrous symbol of slander and defamation in Edmund Spenser’s epic poem *The Faerie Queene*, representing the destructive power of malicious gossip.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd38659c8190830d223edbfd74ec completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a683c208190a79ebc2e6ec5893c completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:52 p.m.