Triple

T20139979
Position Surface form Disambiguated ID Type / Status
Subject Christian Campbell E491136 entity
Predicate familyName 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: [Christian Campbell, familyName, Campbell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campbell
Context triple: [Christian Campbell, familyName, Campbell]
  • A. 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.
  • B. Campbell chosen
    Campbell is a common Scottish surname historically associated with the powerful Clan Campbell of the Scottish Highlands.
  • C. Campbell
    Campbell is a residential suburb in Canberra, Australia, known for its proximity to the city centre, Lake Burley Griffin, and several national institutions.
  • 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 a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66798d59c81908ebcd6644b1b3744 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.