Triple

T11829834
Position Surface form Disambiguated ID Type / Status
Subject Robert Charlton E281356 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: [Robert Charlton, honorificPrefix, Sir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir
Context triple: [Robert Charlton, honorificPrefix, 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62b75dc8190b27d24e46a262a11 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1672e736481909ba5f867cb840039 completed April 29, 2026, 2:04 a.m.
Created at: April 8, 2026, 9:43 p.m.