Triple

T15246145
Position Surface form Disambiguated ID Type / Status
Subject Fraser Nelson E364385 entity
Predicate givenName P17 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: [Fraser Nelson, givenName, Fraser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fraser
Context triple: [Fraser Nelson, givenName, Fraser]
  • A. Fraser
    Fraser is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
  • B. Fraser chosen
    Fraser is a common Scottish surname historically associated with the Clan Fraser and borne by many notable figures worldwide.
  • C. Fraser
    Fraser is a small mountain town in Colorado known for its proximity to ski resorts and outdoor recreation in the Rocky Mountains.
  • D. Freser
    Freser is a river in Catalonia, Spain, known for flowing through the Pyrenees and joining the Ter River.
  • E. Kinnaird
    Kinnaird is a historic Scottish estate and locality traditionally associated with the Carnegie family and the title of Lord Carnegie of Kinnaird.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f4f9d48190b96a7e0c6993cd69 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd491cd881908bad9660af9b6b8f completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:13 a.m.