Triple

T8935219
Position Surface form Disambiguated ID Type / Status
Subject Jean Leckie E212758 entity
Predicate name P16 FINISHED
Object Jean Leckie E212758 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: Jean Leckie | Statement: [Jean Leckie, name, Jean Leckie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Leckie
Context triple: [Jean Leckie, name, Jean Leckie]
  • A. Jean Leckie chosen
    Jean Leckie was the second wife of Sir Arthur Conan Doyle, known for her long-standing relationship with the author that began while his first wife was still alive.
  • B. Miles Matheson
    Miles Matheson is a former Marine and skilled fighter who becomes a reluctant leader in the post-apocalyptic television series "Revolution."
  • C. David Soward
    David Soward is an entrepreneur best known as a co-founder of the cosmetics brand Urban Decay, which helped popularize edgy, alternative makeup in the 1990s.
  • D. John Leeson
    John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
  • E. Scott Sturgeon
    Scott Sturgeon is an American philosopher known for his work in epistemology and the philosophy of mind.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc669138b48190a6bb4968f029a69e completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1ddac548190bf520321dd35de1c completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:58 p.m.