Triple

T19536154
Position Surface form Disambiguated ID Type / Status
Subject The Bandito Tour E488770 entity
Predicate featuresSong P2152 FINISHED
Object Bandito 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: Bandito | Statement: [The Bandito Tour, featuresSong, Bandito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandito
Context triple: [The Bandito Tour, featuresSong, Bandito]
  • A. Bandito chosen
    Bandito is a song by the American musical duo Twenty One Pilots from their album "Trench," noted for its introspective lyrics and genre-blending style.
  • B. Bandido
    "Bandido" is a 1984 pop album by Spanish singer Miguel Bosé that marked a stylistic evolution in his career with a more modern, synth-driven sound.
  • C. The Bandit
    "The Bandit" is a song by American rock band Kings of Leon from their album "When You See Yourself."
  • D. La Banda
    La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
  • E. Las Banderillas
    Las Banderillas is a prominent mountain peak in Spain’s Sierra de Segura range, known for its rugged terrain and panoramic views over the surrounding natural park.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6386f0fac819081bbc29172c8965e completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.