Triple

T81201
Position Surface form Disambiguated ID Type / Status
Subject Down House, Downe, Kent E1629 entity
Predicate hasName P744 FINISHED
Object Down House E1629 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: Down House | Statement: [Down House, Downe, Kent, hasName, Down House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Down House
Context triple: [Down House, Downe, Kent, hasName, Down House]
  • A. Down House, Downe, Kent chosen
    Down House in Downe, Kent is the former home of naturalist Charles Darwin, where he lived for decades and developed his theory of evolution by natural selection.
  • B. Atonement
    Atonement is the Christian theological concept describing how Jesus Christ’s life, death, and resurrection reconcile humanity with God and address the problem of sin.
  • C. Rebecca
    Rebecca is a feminine given name of Hebrew origin meaning “to tie” or “to bind,” widely used in English-speaking countries.
  • D. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • E. Mens et Manus
    Mens et Manus is the Latin motto of the Massachusetts Institute of Technology, expressing the union of mind and hand in the pursuit of knowledge and practical application.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f354d088190972791051d2d99f8 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2555394f881909f01ec05c75ff63d completed Feb. 28, 2026, 2:39 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.