Triple

T9911948
Position Surface form Disambiguated ID Type / Status
Subject Port Sunlight E185163 entity
Predicate hasArchitect P184 FINISHED
Object Ernest George E735398 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: Ernest George | Statement: [Port Sunlight, hasArchitect, Ernest George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernest George
Context triple: [Port Sunlight, hasArchitect, Ernest George]
  • A. Ernest George
    Ernest George was a prominent late 19th- and early 20th-century English architect known for his influential domestic and public building designs and for mentoring a generation of notable architects.
  • B. Sir Ernest George chosen
    Sir Ernest George was a prominent late 19th- and early 20th-century British architect known for his influential domestic and public buildings and for mentoring notable architects such as Edwin Lutyens.
  • C. Ernest Walter
    Ernest Walter was a film editor best known for his work on classic mid-20th-century British and American movies.
  • D. Ernest Lawlars
    Ernest Lawlars was an American blues guitarist and singer best known for performing and recording with his wife, the influential blues artist Memphis Minnie.
  • E. Ernest Sefton
    Ernest Sefton was an author whose work inspired the film "The Clairvoyant."
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5391b8081908094b88cdde4b55a completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dcbf28c8190aa9f6a8be423670a completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.