Triple

T10112773
Position Surface form Disambiguated ID Type / Status
Subject Campbell E218281 entity
Predicate hasVariant P455 FINISHED
Object Cambell E218281 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: Cambell | Statement: [Campbell, hasVariant, Cambell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambell
Context triple: [Campbell, hasVariant, Cambell]
  • A. The Campbell
    The Campbell is a historic, opulently restored cocktail bar and lounge located inside New York City's Grand Central Terminal.
  • 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 small suburban city in California’s Silicon Valley, known as the original home of eBay and for its vibrant downtown and community events.
  • D. Campbell-Bannerman
    Campbell-Bannerman is the surname of Henry Campbell-Bannerman, a British Liberal politician who served as Prime Minister of the United Kingdom in the early 20th century.
  • E. Collip
    Collip is a surname most notably associated with James Collip, a Canadian biochemist who was part of the team that developed insulin as a treatment for diabetes.
  • 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd15ed28081909a812e0634799ef8 completed April 2, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc20ff4481909cdd916e92eda2f6 completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:03 p.m.