Triple

T3940484
Position Surface form Disambiguated ID Type / Status
Subject T. H. White E92021 entity
Predicate name P16 FINISHED
Object T. H. White E92021 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: T. H. White | Statement: [T. H. White, name, T. H. White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T. H. White
Context triple: [T. H. White, name, T. H. White]
  • A. T. H. White chosen
    T. H. White was a British author best known for his Arthurian fantasy series "The Once and Future King."
  • B. C. S. Lewis
    C. S. Lewis was a British writer and scholar best known for his Christian apologetic works and the beloved fantasy series "The Chronicles of Narnia."
  • C. J. R. R. Tolkien
    J. R. R. Tolkien was an English writer, philologist, and academic best known as the author of the high-fantasy novels "The Hobbit" and "The Lord of the Rings."
  • D. Dodie Smith
    Dodie Smith was an English novelist and playwright best known for writing the children's classic "The Hundred and One Dalmatians."
  • E. Alan Garner
    Alan Garner is an English novelist renowned for his fantasy and children's literature rooted in folklore and the landscapes of Cheshire, particularly works like "The Weirdstone of Brisingamen" and "The Owl Service."
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfc88e4819084adefb695b975c5 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52894cb94819099d023745fcaebbc completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:24 p.m.