Triple

T6995235
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Frances Fraser E162194 entity
Predicate familyName P18 FINISHED
Object Fraser E254434 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: Fraser | Statement: [Elizabeth Frances Fraser, familyName, Fraser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fraser
Context triple: [Elizabeth Frances Fraser, familyName, Fraser]
  • A. Fraser
    Fraser is a small mountain town in Colorado known for its proximity to ski resorts and outdoor recreation in the Rocky Mountains.
  • B. Fraser chosen
    Fraser is a common Scottish surname historically associated with the Clan Fraser and borne by many notable figures worldwide.
  • C. Kinnaird
    Kinnaird is a historic Scottish estate and locality traditionally associated with the Carnegie family and the title of Lord Carnegie of Kinnaird.
  • D. Lorne
    Lorne is a masculine given name most notably associated with Canadian-American television producer and "Saturday Night Live" creator Lorne Michaels.
  • E. Lorne
    Lorne is a popular coastal town in Victoria, Australia, known for its beaches, scenic ocean views, and role as a key stop along the Great Ocean Road.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbec259c8190bb4cfbc1ff6fc786 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a1fa11481908450978acc1e0913 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:32 p.m.