Triple

T11670938
Position Surface form Disambiguated ID Type / Status
Subject Kew Observatory E277375 entity
Predicate architect P184 FINISHED
Object William Chambers E600842 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: William Chambers | Statement: [Kew Observatory, architect, William Chambers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Chambers
Context triple: [Kew Observatory, architect, William Chambers]
  • A. William Chambers
    William Chambers was a 19th-century Scottish architect best known for his significant restoration work on historic buildings, including St Giles’ Cathedral in Edinburgh.
  • B. William Chambers chosen
    William Chambers was an 18th-century Scottish-Swedish architect best known for designing Somerset House in London and for his influential architectural treatises.
  • C. John Loder
    John Loder was a British-born film and television actor active from the 1920s to the 1960s, known for his roles in Hollywood and British cinema.
  • D. William Orlamond
    William Orlamond was a Danish-born American character actor of the silent film era who appeared in numerous Hollywood productions in the 1910s and 1920s.
  • E. Thomas Byerley
    Thomas Byerley was a key manager and business partner in the Wedgwood pottery enterprise, helping to expand and oversee its commercial operations in the late 18th and early 19th centuries.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a44264c08190ba1a4a5bcdc9367b completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13d3a8608190a084d8bbcac4f924 completed April 27, 2026, 7:44 a.m.
Created at: April 8, 2026, 9:39 p.m.