Triple

T2858149
Position Surface form Disambiguated ID Type / Status
Subject Arthur Edeson E63252 entity
Predicate name P16 FINISHED
Object Arthur Edeson E63252 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: Arthur Edeson | Statement: [Arthur Edeson, name, Arthur Edeson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Edeson
Context triple: [Arthur Edeson, name, Arthur Edeson]
  • A. Arthur Edeson chosen
    Arthur Edeson was a pioneering American cinematographer best known for his influential work on classic films such as "Casablanca," "Frankenstein," and "The Maltese Falcon."
  • B. George Edwards
    George Edwards is the son of Austrian-American character actor Snitz Edwards, who was known for his roles in early 20th-century stage and silent films.
  • C. Robert William Edis
    Robert William Edis was a prominent 19th-century British architect known for his work in the Queen Anne revival style and for designing and remodeling residences for the royal family and aristocracy.
  • D. Charles Rosher
    Charles Rosher was an influential early Hollywood cinematographer and two-time Academy Award winner known for his pioneering work on visually innovative films.
  • E. Richard Suckle
    Richard Suckle is an American film producer known for his work on major studio projects, including the DC superhero film "Wonder Woman" (2017).
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf89d3b4819086936f26d8683a2a completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b23582f3508190a9eb50e11a08d0f5 completed March 12, 2026, 3:39 a.m.
Created at: March 6, 2026, 10:02 p.m.