Triple

T12764773
Position Surface form Disambiguated ID Type / Status
Subject Arthur Edeson E305090 entity
Predicate familyName P18 FINISHED
Object Edeson E305090 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: Edeson | Statement: [Arthur Edeson, familyName, Edeson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edeson
Context triple: [Arthur Edeson, familyName, Edeson]
  • A. Edeson chosen
    Edeson is a surname most notably associated with Arthur Edeson, a pioneering American cinematographer known for his work on classic Hollywood films.
  • B. Edenfield
    Edenfield is a village in Lancashire, England, situated within the Rossendale Valley and known for its rural setting and historic stone-built houses.
  • C. Moultonborough
    Moultonborough is a small town in Carroll County, New Hampshire, known for its scenic lakeside setting, historic sites, and outdoor recreation opportunities in the Lakes Region.
  • D. Edmeston
    Edmeston is a small town located in central New York State within Otsego County.
  • E. Wentworthe
    Wentworthe is an alternative historical or variant spelling of the English surname Wentworth.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df1ef148190af525532fcb0933b completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f4e1508190a6f023f1d1dc192e completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:28 p.m.