Triple

T5062914
Position Surface form Disambiguated ID Type / Status
Subject Lydia Moore Parker E114067 entity
Predicate notableRelative P367 FINISHED
Object John Parker E490327 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 Parker | Statement: [Lydia Moore Parker, notableRelative, John Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Parker
Context triple: [Lydia Moore Parker, notableRelative, John Parker]
  • A. John Parker
    John Parker was an American colonial militia captain best known for leading the Lexington militia at the opening skirmishes of the American Revolutionary War.
  • B. John Parker chosen
    John Parker is an individual known primarily as the husband of Lydia Moore Parker.
  • C. Nathaniel Parker
    Nathaniel Parker is an English actor known for his work in film, television, and theatre, including roles in adaptations of classic literature and popular detective dramas.
  • D. Jonathan Jennings
    Jonathan Jennings was an American politician who became the first governor of the state of Indiana and played a key role in its transition from territory to statehood.
  • E. Samuel Knox
    Samuel Knox was a 19th-century American Presbyterian minister, educator, and politician who served as a U.S. Representative from Missouri.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7475be3c819085cde8ec544c407e completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb10778208190a5c6a9457c085491 completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:38 p.m.