Triple

T1356600
Position Surface form Disambiguated ID Type / Status
Subject Royal College of Music E29002 entity
Predicate hasNotableAlumni P51 FINISHED
Object Joan Sutherland E127802 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: Joan Sutherland | Statement: [Royal College of Music, hasNotableAlumni, Joan Sutherland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Sutherland
Context triple: [Royal College of Music, hasNotableAlumni, Joan Sutherland]
  • A. Joan Sutherland chosen
    Joan Sutherland was a renowned Australian operatic soprano celebrated for her virtuosic bel canto singing and powerful, agile voice.
  • B. Renata Tebaldi
    Renata Tebaldi was a renowned Italian soprano celebrated for her rich, lyrical voice and leading roles in major opera houses worldwide during the mid-20th century.
  • C. Shirley Bassey
    Shirley Bassey is a Welsh singer renowned for her powerful voice and iconic performances of multiple James Bond film theme songs.
  • D. Joan Templeman
    Joan Templeman is the longtime partner and wife of British entrepreneur Sir Richard Branson, known for her low public profile despite her association with the Virgin Group founder.
  • E. Renée Fleming
    Renée Fleming is an acclaimed American soprano renowned for her performances in opera and concert halls worldwide and for her interpretations of lyric soprano roles.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c28db5048190a279ee9882caaeaf completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce6e264481909f7cb907486d3e08 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:56 p.m.