Triple

T4526730
Position Surface form Disambiguated ID Type / Status
Subject Frederick Stanley Maude E106196 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: [Frederick Stanley Maude, honorificSuffix, KCB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KCB
Context triple: [Frederick Stanley Maude, 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. KVB
    KVB is a French train protection and automatic speed control system used to enhance the safety of railway operations.
  • C. 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.
  • D. 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.
  • E. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57760f4481908f69ce82be63d7f8 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda44fcec48190a1430b4e74ec30fb completed March 20, 2026, 7:47 p.m.
Created at: March 20, 2026, 1:03 p.m.