Triple

T11036093
Position Surface form Disambiguated ID Type / Status
Subject Music for UNICEF Concert E260888 entity
Predicate hasPerformer P5936 FINISHED
Object Olivia Newton-John E75608 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: Olivia Newton-John | Statement: [Music for UNICEF Concert, hasPerformer, Olivia Newton-John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivia Newton-John
Context triple: [Music for UNICEF Concert, hasPerformer, Olivia Newton-John]
  • A. Olivia Newton-John chosen
    Olivia Newton-John was a British-Australian singer and actress best known for her role as Sandy in the film musical "Grease" and for hit songs such as "Physical."
  • B. Brinley Newton-John
    Brinley Newton-John was a Welsh-born academic and educator best known as the father of singer and actress Olivia Newton-John.
  • C. Helen Reddy
    Helen Reddy was an Australian-American singer and actress best known for her 1970s feminist anthem "I Am Woman" and a string of pop hits.
  • D. Barbara West
    Barbara West is an actress known for her role in the acclaimed Australian psychological horror film "The Babadook."
  • E. Loni Anderson
    Loni Anderson is an American actress best known for her role as Jennifer Marlowe on the television sitcom "WKRP in Cincinnati."
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e9e3fc8190802195ac9fcb8e28 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9b70074819084c725c5babf2fb7 completed April 18, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:25 p.m.