Triple

T12389680
Position Surface form Disambiguated ID Type / Status
Subject Douglas Cause E295957 entity
Predicate participant P858 FINISHED
Object Lord Camden E895442 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: Lord Camden | Statement: [Douglas Cause, participant, Lord Camden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord Camden
Context triple: [Douglas Cause, participant, Lord Camden]
  • A. Baron Camden chosen
    Baron Camden is a British peerage title historically associated with Charles Pratt, a prominent 18th-century jurist and statesman who became the 1st Earl Camden.
  • B. Lord Spencer
    Lord Spencer was a prominent 19th-century British Liberal statesman and aristocrat who held several high offices, including serving in William Gladstone’s administrations.
  • C. Lord Willetts
    Lord Willetts is a British Conservative politician and policy thinker, known especially for his work on higher education and intergenerational fairness.
  • D. Baron Hastings
    Baron Hastings is a historic English peerage title associated with prominent noble families, including the Stanleys, Earls of Derby.
  • E. Lord Oxford
    Lord Oxford is a historical British nobleman and literary patron associated with the early 18th-century Scriblerus Club of satirists and writers.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fcf6aa8819080c9a2407a72db2e completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63479df38819085c5ca791c460d5e completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.