Triple

T17548088
Position Surface form Disambiguated ID Type / Status
Subject Adrian Young E427381 entity
Predicate associatedAct P37 FINISHED
Object Bow Wow Wow 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: Bow Wow Wow | Statement: [Adrian Young, associatedAct, Bow Wow Wow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bow Wow Wow
Context triple: [Adrian Young, associatedAct, Bow Wow Wow]
  • A. Bow Wow Wow chosen
    Bow Wow Wow is a British new wave band formed in 1980, known for its Burundi beat–influenced sound and the hit single "I Want Candy."
  • B. Bow Chicka Wow Wow
    "Bow Chicka Wow Wow" is a pop-R&B single by American singer Mike Posner, known for its flirtatious lyrics and smooth, radio-friendly production.
  • C. Bow Wow
    Bow Wow is an American rapper and actor who rose to fame as a child star in the early 2000s with hit singles and roles in films like "Like Mike."
  • D. Vow Wow
    Vow Wow is a Japanese hard rock and heavy metal band that gained international recognition in the 1980s for its powerful sound and English-language releases.
  • E. Mr. Bow Wow
    Mr. Bow Wow is a satirical short story by Iranian writer Sadegh Hedayat that critiques social and cultural norms through dark humor and absurd situations.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454631e148190a1d46a6ecb79c71a completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.