Triple

T12776175
Position Surface form Disambiguated ID Type / Status
Subject Frances Osborne E305377 entity
Predicate hasWrittenWork P4 FINISHED
Object Park Lane E78086 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: Park Lane | Statement: [Frances Osborne, hasWrittenWork, Park Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Park Lane
Context triple: [Frances Osborne, hasWrittenWork, Park Lane]
  • A. Park Lane
    Park Lane is a prominent shopping and commercial area in the Whitefield district of Greater Manchester, England, featuring a variety of retail stores and local businesses.
  • B. Park Lane chosen
    Park Lane is a major road in central London known for its luxury hotels, upscale residences, and proximity to Hyde Park.
  • C. Park Lane
    Park Lane is the main shopping street and commercial hub of the town of Poynton in Cheshire, England.
  • D. Park Crescent
    Park Crescent is a grand, Regency-era crescent of stuccoed terraced houses in London, designed by architect John Nash as part of his masterplan for Regent’s Park.
  • E. Holland Park Avenue
    Holland Park Avenue is a major tree-lined thoroughfare in west London, known for its elegant residential buildings, shops, and proximity to Holland Park.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df6b3c88190b0bbe70de8ddcbf3 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684fee60c81909245d4d70c9338c0 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:29 p.m.