Triple

T12716548
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Hadley Richardson E303856 entity
Predicate givenName P17 FINISHED
Object Hadley E254496 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: Hadley | Statement: [Elizabeth Hadley Richardson, givenName, Hadley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadley
Context triple: [Elizabeth Hadley Richardson, givenName, Hadley]
  • A. Hadley chosen
    Hadley is a given name most notably borne by Hadley Richardson, the first wife of writer Ernest Hemingway.
  • B. Risley
    Risley is a village in Derbyshire, England, known for its historic buildings and rural character near the town of Sandiacre.
  • C. Risley
    Risley is a village in Cheshire, England, situated near Culcheth and known for its mix of residential areas and nearby business and science parks.
  • D. Risley
    Risley is an English-language surname of likely British origin borne by various individuals and families.
  • E. Tuthill
    Tuthill is a surname most notably associated with William Burnet Tuthill, the American architect who designed Carnegie Hall in New York City.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620bd6148190a2f50067a4c18c14 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671bcc10481909f150989f9545752 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:23 p.m.