Triple

T2980541
Position Surface form Disambiguated ID Type / Status
Subject O'Connor E80498 entity
Predicate hasNotableBearer P458 FINISHED
Object Sinéad O'Connor E210232 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: Sinéad O'Connor | Statement: [O'Connor, hasNotableBearer, Sinéad O'Connor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinéad O'Connor
Context triple: [O'Connor, hasNotableBearer, Sinéad O'Connor]
  • A. Sinead O’Connor chosen
    Sinéad O’Connor was an Irish singer-songwriter known for her powerful voice, emotionally intense performances, and the global hit cover of “Nothing Compares 2 U,” as well as her outspoken political and social activism.
  • B. Sarah Nolan
    Sarah Nolan is a fictional character best known as the recently divorced preschool teacher seeking love in the romantic comedy film "Must Love Dogs."
  • C. Mary O'Riordan
    Mary O'Riordan is an actress known for her role in the Irish historical drama film "The Wind That Shakes the Barley."
  • D. Annie Lennox
    Annie Lennox is a Scottish singer, songwriter, and activist best known as the lead vocalist of Eurythmics and for her acclaimed solo career.
  • E. Orla Fitzgerald
    Orla Fitzgerald is an Irish actress best known for her role in the historical drama film "The Wind That Shakes the Barley."
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999e91788190a2d430dd0600a660 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f27d648190a7a58670fec8b74d completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.