Triple

T4737880
Position Surface form Disambiguated ID Type / Status
Subject Dr Vesey Stanhope E105168 entity
Predicate hasChild P369 FINISHED
Object Bertie Stanhope E106339 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: Bertie Stanhope | Statement: [Dr Vesey Stanhope, hasChild, Bertie Stanhope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bertie Stanhope
Context triple: [Dr Vesey Stanhope, hasChild, Bertie Stanhope]
  • A. Signor Bertie Stanhope chosen
    Signor Bertie Stanhope is a charming, idle, and somewhat roguish young man from an eccentric Italianized English family in Anthony Trollope’s novel "Barchester Towers."
  • B. Bertie
    Bertie is a filmmaker best known as one half of the directing duo Bert & Bertie, who co-directed the feature film "Troop Zero."
  • C. Bertie
    Bertie is the familiar nickname of Albert Edward, the Prince of Wales who later became King Edward VII of the United Kingdom.
  • D. Bertie
    Bertie is a common English diminutive form of the given name Bertram.
  • E. Bertie Wooster
    Bertie Wooster is a wealthy, amiable, and somewhat dim-witted young English gentleman best known as the hapless master of the supremely competent valet Jeeves in P. G. Wodehouse’s comic stories.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64844b7081909c9d36e4b461379e completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10b8e7ec81908cc1ec9b94a6bee4 completed March 21, 2026, 3:30 a.m.
Created at: March 20, 2026, 1:19 p.m.