Triple

T7296949
Position Surface form Disambiguated ID Type / Status
Subject Lord Dyson E164547 entity
Predicate nobleTitle P914 FINISHED
Object Lord Dyson E164547 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: Lord Dyson | Statement: [Lord Dyson, nobleTitle, Lord Dyson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord Dyson
Context triple: [Lord Dyson, nobleTitle, Lord Dyson]
  • A. Lord Dyson chosen
    Lord Dyson is a prominent British judge and legal scholar who served as Master of the Rolls and Justice of the Supreme Court of the United Kingdom.
  • B. Simon Dunsdon
    Simon Dunsdon is a cinematographer known for his work on the animated film "Hotel Transylvania 3: Summer Vacation."
  • C. Roland Caulder
    Roland Caulder is an actor known for his role in the film "The Iron Mask."
  • D. Lord Lufton
    Lord Lufton is a young, charming aristocrat in Anthony Trollope’s Barsetshire novels, best known for his central romantic and social entanglements in "Framley Parsonage."
  • E. Dorian Lord
    Dorian Lord is a central, long-running fictional character on the American soap opera "One Life to Live," known for her scheming, glamour, and complex family and romantic entanglements.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8e48d48190ada4d507f3b61bc4 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e54c25c88190891311b72f242e86 completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3 p.m.