Triple

T3059888
Position Surface form Disambiguated ID Type / Status
Subject Johnny Logan E60571 entity
Predicate name P16 FINISHED
Object Johnny Logan E60571 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: Johnny Logan | Statement: [Johnny Logan, name, Johnny Logan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Logan
Context triple: [Johnny Logan, name, Johnny Logan]
  • A. Johnny Logan chosen
    Johnny Logan was an American professional basketball player best known for his time as a guard/forward in the early years of the NBA.
  • B. Ronan Keating
    Ronan Keating is an Irish singer, songwriter, and former Boyzone frontman who has also built a career as a television and radio presenter.
  • C. Neil McEvoy
    Neil McEvoy is a Canadian football executive best known for serving in senior football operations and personnel roles, including general manager, with the BC Lions of the Canadian Football League.
  • D. William Callaghan
    William Callaghan is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the Callaghan surname.
  • E. Niall Leonard
    Niall Leonard is a British screenwriter and author known for his work on television dramas and for writing the screenplay adaptation of the erotic romance film "Fifty Shades Darker."
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e9cf9188190b43f50edc009030d completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0b989c819094daaf222bf01d02 completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.