Triple

T20876830
Position Surface form Disambiguated ID Type / Status
Subject Campbell of Glenorchy E514037 entity
Predicate hasFamilyName P18 FINISHED
Object Campbell NE NERFINISHED

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: Campbell | Statement: [Campbell of Glenorchy, hasFamilyName, Campbell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campbell
Context triple: [Campbell of Glenorchy, hasFamilyName, Campbell]
  • A. Campbell
    Campbell is a residential suburb in Canberra, Australia, known for its proximity to the city centre, Lake Burley Griffin, and several national institutions.
  • B. Campbell
    Campbell is a small suburban city in California’s Silicon Valley, known as the original home of eBay and for its vibrant downtown and community events.
  • C. Campbell chosen
    Campbell is a common Scottish surname historically associated with the powerful Clan Campbell of the Scottish Highlands.
  • D. Mathison
    Mathison is a surname most notably associated with American screenwriter Melissa Mathison, known for writing the screenplay for "E.T. the Extra-Terrestrial."
  • E. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c6767ec0819080721e2e75bd0d66 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:45 p.m.