Triple

T16796516
Position Surface form Disambiguated ID Type / Status
Subject Stay E408246 entity
Predicate partOfAlbum P35 FINISHED
Object Boingo Alive E408256 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: Boingo Alive | Statement: [Stay, partOfAlbum, Boingo Alive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boingo Alive
Context triple: [Stay, partOfAlbum, Boingo Alive]
  • A. Boingo Alive chosen
    Boingo Alive is a live-in-the-studio double album by American new wave band Oingo Boingo, featuring re-recorded versions of many of their earlier songs.
  • B. Boingo
    Boingo is the 1994 self-titled studio album by American new wave band Oingo Boingo, marking a stylistic shift toward a more alternative rock sound.
  • C. WINGO
    WINGO is the radio callsign used by Wingo, a low-cost Colombian airline operating domestic and international flights in Latin America.
  • D. Get Out Alive
    Get Out Alive is a song by American rock band Three Days Grace, featured on their 2006 album "One-X."
  • E. Kaboings
    Kaboings are a type of Kremling enemy from the Donkey Kong video game series, known for their distinctive bouncing movement and dual-headed appearance.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2aa1ff48190ab9b6750bc4d7974 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab109694819094c696904faf0418 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.