Triple

T16730323
Position Surface form Disambiguated ID Type / Status
Subject Rose Campbell E406569 entity
Predicate hasCousin P1999 FINISHED
Object Will Campbell E414235 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: Will Campbell | Statement: [Rose Campbell, hasCousin, Will Campbell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Campbell
Context triple: [Rose Campbell, hasCousin, Will Campbell]
  • A. Will Campbell chosen
    Will Campbell is a supporting character in Louisa May Alcott’s novel "Eight Cousins," known as one of the boys in the extended Campbell family circle surrounding the heroine, Rose.
  • B. Andrew Campbell
    Andrew Campbell was an American explorer best known for leading the 1878 discovery of Luray Caverns in Virginia.
  • C. Jimmy Campbell
    Jimmy Campbell was a British songwriter best known for co-writing the popular standard "Try a Little Tenderness" and other songs of the early 20th century.
  • D. Rob Campbell
    Rob Campbell is a New Zealand business leader and professional director who has served in prominent governance roles across the country’s corporate and public sectors.
  • E. Ken Campbell
    Ken Campbell was a British actor, writer, and director known for his eccentric performances, experimental theatre work, and influential one-man shows.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3874bd7648190a6a7d173d4b497a7 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfbe853c8190941d9a20173100fc completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:20 a.m.