Triple

T7345854
Position Surface form Disambiguated ID Type / Status
Subject London Review of Books E169376 entity
Predicate notableEditor P1932 FINISHED
Object Karl Miller E671046 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: Karl Miller | Statement: [London Review of Books, notableEditor, Karl Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl Miller
Context triple: [London Review of Books, notableEditor, Karl Miller]
  • A. Karl Miller chosen
    Karl Miller was a prominent British literary editor and critic best known for shaping contemporary literary culture through his leadership of major journals and engagement with modern writers.
  • B. Richard Miller
    Richard Miller is a philosopher known for his contributions to political philosophy and ethics, particularly within the tradition of Analytical Marxism.
  • C. Robert Lane Miller
    Robert Lane Miller is an American author and legal expert known for his work on international business law and cross-border transactions.
  • D. Sidney Miller
    Sidney Miller was a person significant enough in the history or founding of Millerton, New York, that the village was named in his honor.
  • E. Ralph Miller
    Ralph Miller was a highly respected American college basketball coach best known for transforming Oregon State University into a national contender during his long tenure.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0f0329c8190a0182e3bf62604e5 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856a22b208190821bcbf21a074bb8 completed March 28, 2026, 10:30 p.m.
Created at: March 27, 2026, 3:05 p.m.