Triple

T16789022
Position Surface form Disambiguated ID Type / Status
Subject Weezer (Teal Album) E408054 entity
Predicate featuresSongOriginallyBy P70238 FINISHED
Object a-ha E500564 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: a-ha | Statement: [Weezer (Teal Album), featuresSongOriginallyBy, a-ha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: a-ha
Context triple: [Weezer (Teal Album), featuresSongOriginallyBy, a-ha]
  • A. A-ha chosen
    A-ha is a Norwegian synth-pop band best known for their 1980s global hit "Take On Me" and its iconic music video.
  • B. Roxette
    Roxette is a Swedish pop rock duo, best known for their late-1980s and early-1990s international hits like "It Must Have Been Love" and "Listen to Your Heart."
  • C. Aha
    Aha is an early Egyptian pharaoh, often identified with the legendary Menes, who is traditionally credited with unifying Upper and Lower Egypt and founding the First Dynasty.
  • D. ABBA
    ABBA is a Swedish pop group formed in the early 1970s, globally renowned for their catchy melodies, rich harmonies, and enduring hits like "Dancing Queen" and "Mamma Mia."
  • E. Ace of Base
    Ace of Base is a Swedish pop group that achieved worldwide success in the 1990s with catchy, dance-oriented hits like "The Sign" and "All That She Wants."
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a50e18819090a30e1f38e520e0 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab09932c8190ba16a349c4938c16 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.