Triple

T16330433
Position Surface form Disambiguated ID Type / Status
Subject Alexander Ridha E396535 entity
Predicate notableAlias P39 FINISHED
Object Dog Blood E760927 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: Dog Blood | Statement: [Alexander Ridha, notableAlias, Dog Blood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dog Blood
Context triple: [Alexander Ridha, notableAlias, Dog Blood]
  • A. Dog Blood chosen
    Dog Blood is an electronic music duo and side project of Skrillex and Boys Noize known for their aggressive, genre-blending dance tracks and high-energy live sets.
  • B. 2 Cups of Blood
    2 Cups of Blood is a horrorcore rap track by the group Gravediggaz from their debut album "Niggamortis" (also known as "6 Feet Deep").
  • C. Blood in the Fruit
    Blood in the Fruit is a feminist science fiction novel by L. Timmel Duchamp that explores political resistance, gender, and power in a near-future society.
  • D. Bloods
    Bloods is a popular nickname for the Sydney Swans, an Australian Football League club known for its red-and-white colors and strong team culture.
  • E. Bloods
    Bloods is a predominantly African-American street gang that originated in Los Angeles and is known for its rivalry with the Crips and its nationwide network of affiliated sets.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4debef08190a64f13214bfa098f completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00261134108190812da262b424a476 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.