Triple

T6166377
Position Surface form Disambiguated ID Type / Status
Subject Can’t Change Me E137568 entity
Predicate hasBside P15273 FINISHED
Object Flutter Girl E137569 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: Flutter Girl | Statement: [Can’t Change Me, hasBside, Flutter Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flutter Girl
Context triple: [Can’t Change Me, hasBside, Flutter Girl]
  • A. Flutter Girl chosen
    "Flutter Girl" is a song by Chris Cornell from his solo album *Euphoria Morning*, showcasing his distinctive vocals and introspective songwriting.
  • B. Gwen
    Gwen is the Allied reporting name for the Mitsubishi Ki-21, a Japanese twin-engine bomber used extensively during World War II.
  • C. Lavagirl
    Lavagirl is a fiery superheroine from the family adventure film "The Adventures of Sharkboy and Lavagirl in 3-D," known for her lava-based powers and partnership with Sharkboy in a dreamlike fantasy world.
  • D. Nico Minoru
    Nico Minoru is a powerful teenage sorceress in Marvel Comics, best known as a core member of the Runaways who wields the magical Staff of One.
  • E. Brielle
    Brielle is a historic fortified town in the Dutch province of South Holland, known for its well-preserved medieval center and role in the Eighty Years' War.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d6366948190b35ef44dd9d6fcd6 completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141a3ea6c81908847998960c9d0eb completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.