Triple

T1648774
Position Surface form Disambiguated ID Type / Status
Subject Frankie Goes to Hollywood E35643 entity
Predicate bassist P15279 FINISHED
Object Mark O'Toole E257412 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: Mark O'Toole | Statement: [Frankie Goes to Hollywood, bassist, Mark O'Toole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark O'Toole
Context triple: [Frankie Goes to Hollywood, bassist, Mark O'Toole]
  • A. Mark O'Toole chosen
    Mark O'Toole is an English musician and bassist best known as a founding member of the 1980s pop band Frankie Goes to Hollywood.
  • B. Mark O’Connor
    Mark O’Connor is an American violinist, composer, and fiddler renowned for blending classical, jazz, and American folk traditions, particularly in contemporary string music.
  • C. Patrick Doherty
    Patrick Doherty was one of the unarmed civil rights marchers shot and killed by British soldiers during the Bloody Sunday massacre in Derry, Northern Ireland, in 1972.
  • D. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • E. Christian O'Connell
    Christian O'Connell is a British radio DJ, comedian, and author best known for hosting popular breakfast shows in the UK and Australia.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a6537e0819082b966023e0c0583 completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea82cd9748190ac82c7221455b2d5 completed March 9, 2026, 10:59 a.m.
Created at: March 4, 2026, 7:29 p.m.