Triple

T2804016
Position Surface form Disambiguated ID Type / Status
Subject Wicker Park E54009 entity
Predicate editor P1954 FINISHED
Object Andrew Hulme E259292 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: Andrew Hulme | Statement: [Wicker Park, editor, Andrew Hulme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Hulme
Context triple: [Wicker Park, editor, Andrew Hulme]
  • A. Andrew Hulme chosen
    Andrew Hulme is a British film editor known for his work on feature films such as the crime thriller "Lucky Number Slevin."
  • B. Adrian Stephen
    Adrian Stephen was a British psychoanalyst, writer, and member of the Bloomsbury Group, known also as the younger brother of Virginia Woolf and Vanessa Bell.
  • C. William Heelis
    William Heelis was an English solicitor best known as the husband of author and illustrator Beatrix Potter, with whom he shared a deep involvement in land conservation in England’s Lake District.
  • D. Geoffrey Streatfeild
    Geoffrey Streatfeild is a British actor known for his work in film, television, and theatre, including roles in productions such as "The Thick of It" and "Spooks."
  • E. Henry Van Brunt
    Henry Van Brunt was a prominent 19th-century American architect known for his influential role in shaping civic and institutional architecture across the United States.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde1409148190a06a401185a26b64 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc674217c81908177b088cc824e7b completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:59 p.m.