Triple

T14487506
Position Surface form Disambiguated ID Type / Status
Subject Michael Learned E359271 entity
Predicate spouse P13 FINISHED
Object John Doherty E400862 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: John Doherty | Statement: [Michael Learned, spouse, John Doherty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Doherty
Context triple: [Michael Learned, spouse, John Doherty]
  • A. John Doherty chosen
    John Doherty is known as the husband of American actress Michael Learned, famed for her role as Olivia Walton on the television series "The Waltons."
  • B. 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.
  • C. Martin Doherty
    Martin Doherty is a Scottish musician and producer best known as a member of the synth-pop band Chvrches.
  • D. Michael Doherty
    Michael Doherty is a member of the Doherty family, known for his close relation to Irish republican figure Kieran Doherty.
  • E. Tom Doherty
    Tom Doherty is an American publisher best known as the founder of the science fiction and fantasy imprint Tor Books.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924ee0f08190baf68318b41fa64d completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025e6bc748190b8099e7559569a90 completed May 10, 2026, 6:29 a.m.
Created at: April 10, 2026, 1:20 a.m.