Triple

T308618
Position Surface form Disambiguated ID Type / Status
Subject Norman Wisdom E6354 entity
Predicate honorificPrefix P536 FINISHED
Object Sir E20965 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: Sir | Statement: [Norman Wisdom, honorificPrefix, Sir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir
Context triple: [Norman Wisdom, honorificPrefix, Sir]
  • A. Sir chosen
    Sir is a formal English honorific title traditionally used to address or refer to a knight or baronet.
  • B. Lord
    A Lord is a noble title in the United Kingdom traditionally associated with membership in the peerage and, in many cases, a seat in the House of Lords.
  • C. Lord
    Lord is a reverential title for Jesus Christ, emphasizing his divine authority, sovereignty, and central role in Christian faith and worship.
  • D. Bertram Ramsay
    Bertram Ramsay was a British admiral who played a key role in planning and directing major Allied naval operations during World War II, including the Dunkirk evacuation and the D-Day landings.
  • E. Knight
    A Knight in the Order of Prince Henry is a distinguished rank of honor awarded by Portugal for notable services to the country and the spread of Portuguese culture.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea3289608190a36c20a47761c6e4 completed Feb. 28, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3b475e91c8190b68b05a8112d35dd completed March 1, 2026, 3:37 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.