Triple

T12716549
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Hadley Richardson E303856 entity
Predicate familyName P18 FINISHED
Object Richardson E22124 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: Richardson | Statement: [Elizabeth Hadley Richardson, familyName, Richardson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richardson
Context triple: [Elizabeth Hadley Richardson, familyName, Richardson]
  • A. Richardson chosen
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • B. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • C. Lawrence
    Lawrence is the formal given name of Larry Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
  • D. Lawrence
    Lawrence is a small rural village in the Clarence Valley region of New South Wales, Australia, known for its historic charm and riverside setting on the Clarence River.
  • E. Lawrence
    Lawrence is a city located within Marion County in the U.S. state of Indiana.
  • 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.