Triple

T37447561
Position Surface form Disambiguated ID Type / Status
Subject Graflex camera E930588 entity
Predicate typicalFilmSize P67473 FINISHED
Object 4×5 inch sheet film LITERAL 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: 4×5 inch sheet film | Statement: [Graflex camera, typicalFilmSize, 4×5 inch sheet film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalFilmSize
Context triple: [Graflex camera, typicalFilmSize, 4×5 inch sheet film]
  • A. appearsInFilmFormat
    Indicates that something is presented or occurs within a specific film format or medium of cinematic presentation.
  • B. typicalResolution
    Indicates the usual or standard level of detail or clarity at which something (such as an image, display, or representation) is normally rendered or presented.
  • C. typicalDimension chosen
    Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
  • D. usesFilmFormat
    Indicates that one entity employs or is recorded in a particular film format associated with the other entity.
  • E. mediaDimension
    Indicates the physical or digital size, extent, or measurable properties (such as width, height, length, or duration) associated with a media item.
  • F. None of above.

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_69f76ec0b9488190b7a4fae632bd1d2f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a13a1308190a202df66f4781855 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:17 p.m.