Triple

T19850722
Position Surface form Disambiguated ID Type / Status
Subject John Cale E476983 entity
Predicate notableWork P4 FINISHED
Object song "Andalucia" — NE NERFINISHED

How this triple was built (3 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: song "Andalucia" | Statement: [John Cale, notableWork, song "Andalucia"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: song "Andalucia"
Context triple: [John Cale, notableWork, song "Andalucia"]
  • A. Spanish song "Por la calle de Alcalá"
    "Por la calle de Alcalá" is a famous Spanish song from the zarzuela tradition that nostalgically evokes life and atmosphere along Madrid’s iconic Alcalá Street.
  • B. Songs of Spain
    Songs of Spain is the English title of Isaac Albéniz’s celebrated piano suite "Cantós de España," known for its evocative portrayals of Spanish musical idioms and regional character.
  • C. song "Si Tú Te Vas"
    "Si Tú Te Vas" is a Spanish-language pop ballad that served as Enrique Iglesias's breakthrough debut single, helping launch his international music career.
  • D. “Music from Spain”
    “Music from Spain” is a short story by Ray Bradbury, featured in his collection *The Golden Apples of the Sun*, that explores themes of longing and escape through the evocative power of music.
  • E. song "Amor y lujo"
    "Amor y lujo" is a pop song by Spanish singer Mónica Naranjo, known for its dramatic vocals and lush, theatrical production.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: song "Andalucia"
Target entity description: "Andalucia" is a reflective, melodic song by Welsh musician John Cale, known for its delicate arrangement and introspective lyrics on his 1973 album "Paris 1919."
  • A. Spanish song "Por la calle de Alcalá"
    "Por la calle de Alcalá" is a famous Spanish song from the zarzuela tradition that nostalgically evokes life and atmosphere along Madrid’s iconic Alcalá Street.
  • B. Songs of Spain
    Songs of Spain is the English title of Isaac Albéniz’s celebrated piano suite "Cantós de España," known for its evocative portrayals of Spanish musical idioms and regional character.
  • C. song "Si Tú Te Vas"
    "Si Tú Te Vas" is a Spanish-language pop ballad that served as Enrique Iglesias's breakthrough debut single, helping launch his international music career.
  • D. “Music from Spain”
    “Music from Spain” is a short story by Ray Bradbury, featured in his collection *The Golden Apples of the Sun*, that explores themes of longing and escape through the evocative power of music.
  • E. song "Amor y lujo"
    "Amor y lujo" is a pop song by Spanish singer Mónica Naranjo, known for its dramatic vocals and lush, theatrical production.
  • F. None of above. chosen

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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65867b5408190bbd12ca567c4705f completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.