Triple

T11076600
Position Surface form Disambiguated ID Type / Status
Subject The Chronicles of Hall E261882 entity
Predicate author P4 FINISHED
Object Edward Hall E261883 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: Edward Hall | Statement: [The Chronicles of Hall, author, Edward Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Hall
Context triple: [The Chronicles of Hall, author, Edward Hall]
  • A. Edward Hall chosen
    Edward Hall was a 16th-century English lawyer, historian, and chronicler best known for his influential Tudor-era chronicle "The Union of the Two Noble and Illustre Families of Lancastre and Yorke."
  • B. John Guy
    John Guy is a British historian and biographer best known for his acclaimed works on Tudor history, including a major biography of Mary, Queen of Scots.
  • C. Michael Wood
    Michael Wood is a British historian and broadcaster known for his popular television documentaries and books on English history.
  • D. David Holloway
    David Holloway is a literary figure best known for serving on the distinguished jury that selected the Booker of Bookers award.
  • E. Charles Saumarez Smith
    Charles Saumarez Smith is a British art historian and museum director known for leading major cultural institutions in the United Kingdom.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7994fcbc081908ff8f7321c0c5892 completed April 9, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8cc77988190aad54f56dbd0f8cf completed April 18, 2026, 6:09 p.m.
Created at: April 8, 2026, 9:27 p.m.