Triple

T10069448
Position Surface form Disambiguated ID Type / Status
Subject Sophia Hull E213581 entity
Predicate spouseHonorificTitle P17687 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: [Sophia Hull, spouseHonorificTitle, Sir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir
Context triple: [Sophia Hull, spouseHonorificTitle, Sir]
  • A. Sir chosen
    Sir is a formal English honorific title traditionally used to address or refer to a knight or baronet.
  • B. SIR
    SIR is the IATA airport code for Sion Airport, a regional airport serving the town of Sion in the Swiss canton of Valais.
  • C. Mr. Sir
    Mr. Sir is the gruff, intimidating counselor at Camp Green Lake in Louis Sachar’s novel "Holes," known for his harsh treatment of the boys and his distinctive sunflower seed habit.
  • D. Sir (David Barclay)
    Sir David Barclay was a British billionaire businessman best known as one of the reclusive Barclay brothers who owned major media and retail assets, including The Daily Telegraph.
  • E. Sir Boss
    Sir Boss is the time-displaced 19th-century American engineer and protagonist of Mark Twain’s novel "A Connecticut Yankee in King Arthur’s Court."
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff8d9c08190bc030f1dcc696310 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29aa05cc881909f59178e9c6c01ef completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:58 p.m.