Triple

T1138159
Position Surface form Disambiguated ID Type / Status
Subject Anna Seward E23185 entity
Predicate correspondedWith P4768 FINISHED
Object William Hayley E33017 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: William Hayley | Statement: [Anna Seward, correspondedWith, William Hayley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Hayley
Context triple: [Anna Seward, correspondedWith, William Hayley]
  • A. George Thompson
    George Thompson was an American professional basketball player best known as a high-scoring guard in the ABA, particularly with the Pittsburgh Condors.
  • B. William Collins
    William Collins was a Scottish publisher and founder of the notable publishing house William Collins, Sons, which later became part of HarperCollins.
  • C. Henry Sharp
    Henry Sharp was an American cinematographer known for his work on numerous early 20th-century films, including the adventure drama "The Iron Mask."
  • D. Joseph Johnson chosen
    Joseph Johnson was an influential 18th-century London publisher and bookseller known for promoting radical, Enlightenment, and early feminist works.
  • E. George Wiley
    George Wiley was an American chemist-turned-civil rights leader best known for his prominent role in the 1960s civil rights movement and anti-poverty activism.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc25dda481909a26d726fdbdbb50 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59b020d48190bc6ecbdb720c6779 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:44 p.m.