Triple

T12354813
Position Surface form Disambiguated ID Type / Status
Subject Philip Christison E294583 entity
Predicate honorificSuffix P341 FINISHED
Object KCB E41846 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: KCB | Statement: [Philip Christison, honorificSuffix, KCB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KCB
Context triple: [Philip Christison, honorificSuffix, KCB]
  • A. KCB chosen
    KCB is the post-nominal abbreviation for Knight Commander of the Order of the Bath, a senior British order of chivalry.
  • B. KCB
    KCB is a British honorific post-nominal title signifying appointment as a Knight Companion of the Order of the Bath, one of the United Kingdom’s senior orders of chivalry.
  • C. KVB
    KVB is a French train protection and automatic speed control system used to enhance the safety of railway operations.
  • D. CBK
    CBK is the Central Bank of Kenya, the national monetary authority responsible for issuing currency and formulating and implementing the country’s monetary policy.
  • E. CBK
    CBK is the Central Bank of Kuwait, the country’s primary monetary authority responsible for issuing currency, regulating the banking sector, and formulating monetary policy.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8bc60c8190b0ceb84093e70db4 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab2dc30819082b12fa35f585762 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.