Triple

T18886171
Position Surface form Disambiguated ID Type / Status
Subject Prydain E461961 entity
Predicate creator P184 FINISHED
Object Lloyd Alexander NE NERFINISHED

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: Lloyd Alexander | Statement: [Prydain, creator, Lloyd Alexander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lloyd Alexander
Context triple: [Prydain, creator, Lloyd Alexander]
  • A. Lloyd Alexander chosen
    Lloyd Alexander was an American author best known for his fantasy series "The Chronicles of Prydain," which drew on Welsh mythology and inspired the film adaptation "The Black Cauldron."
  • B. Andrew Davies
    Andrew Davies is a renowned British screenwriter celebrated for his acclaimed television adaptations of classic literature, including numerous works by Jane Austen.
  • C. T. H. White
    T. H. White was a British author best known for his Arthurian fantasy series "The Once and Future King."
  • D. Pauline Baynes
    Pauline Baynes was a British illustrator best known for her iconic artwork for J.R.R. Tolkien’s Middle-earth writings and C.S. Lewis’s The Chronicles of Narnia.
  • E. Peter S. Beagle
    Peter S. Beagle is an American fantasy author and screenwriter best known for writing the novel "The Last Unicorn" and contributing to various fantasy film and television projects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c4760d808190b502c4ed1f24424c completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:57 a.m.