Triple

T16300190
Position Surface form Disambiguated ID Type / Status
Subject Mike Moran E395762 entity
Predicate collaboratedWith P435 FINISHED
Object Montserrat Caballé E39574 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: Montserrat Caballé | Statement: [Mike Moran, collaboratedWith, Montserrat Caballé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montserrat Caballé
Context triple: [Mike Moran, collaboratedWith, Montserrat Caballé]
  • A. Montserrat Caballé chosen
    Montserrat Caballé was a renowned Spanish operatic soprano celebrated for her powerful yet delicate voice and exceptional bel canto technique.
  • B. Jordi Carreras
    Jordi Carreras is a Spanish DJ and music producer known within the electronic and club music scene.
  • C. Carmen Rabassa
    Carmen Rabassa is known primarily as the wife of acclaimed American literary translator Gregory Rabassa.
  • D. Lluís Carreras
    Lluís Carreras is a Spanish former professional footballer and manager, best known for his time as a defender with FC Barcelona and RCD Mallorca.
  • E. Chavela Vargas
    Chavela Vargas was a Costa Rica–born Mexican singer renowned for her passionate, minimalist interpretations of rancheras and her influential role in Latin American music and queer cultural history.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e31c9e8819094593f3aeb44f2ca completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9fb2908190a8521b1ccf49170a completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.