Triple

T7600415
Position Surface form Disambiguated ID Type / Status
Subject Murray Klamkin E179967 entity
Predicate familyName P18 FINISHED
Object Klamkin E179967 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: Klamkin | Statement: [Murray Klamkin, familyName, Klamkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klamkin
Context triple: [Murray Klamkin, familyName, Klamkin]
  • A. Murray Klamkin chosen
    Murray Klamkin was a prominent American mathematician and problem solver known for his influential work in mathematical problem posing, editing, and education.
  • B. Muirhead
    Muirhead is a Scottish surname, historically associated with families from areas characterized by moorland or "muir" landscapes.
  • C. Muirhead
    Muirhead is a small village in the Angus council area of Scotland, known for its residential character and proximity to Dundee.
  • D. Muirhead
    Muirhead is a small village in North Lanarkshire, Scotland, situated near Glasgow and known primarily as a residential commuter community.
  • E. Schur
    Schur is a surname most prominently associated with Michael Schur, the American television writer and producer known for creating and co-creating acclaimed comedy series such as Parks and Recreation and The Good Place.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9d9c55c8190841f3bf3225c096a completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861ad08bc8190b3fc22109579a47d completed March 28, 2026, 11:18 p.m.
Created at: March 27, 2026, 3:53 p.m.