Triple

T12483609
Position Surface form Disambiguated ID Type / Status
Subject Diane Arbus E298374 entity
Predicate movement P81 FINISHED
Object New Documents E985696 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: New Documents | Statement: [Diane Arbus, movement, New Documents]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Documents
Context triple: [Diane Arbus, movement, New Documents]
  • A. New Documents chosen
    New Documents was a landmark 1967 Museum of Modern Art photography exhibition that helped define a new documentary style through the work of Lee Friedlander, Garry Winogrand, and Diane Arbus.
  • B. Document Repository
    A Document Repository is a system component that securely stores, manages, and provides controlled access to electronic documents within a distributed information-sharing environment.
  • C. DOCO
    DOCO is a mixed-use entertainment, shopping, and dining district in downtown Sacramento, California, adjacent to the Golden 1 Center.
  • D. DOCU
    DOCU is the stock ticker symbol for DocuSign, a leading provider of electronic signature and digital agreement management solutions.
  • E. New and Selected
    "New and Selected" is the subtitle of the film *The Meyerowitz Stories*, distinguishing its full title from other works.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94ddf0b6c8190aff4fe267d8f6efe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba5efc881909784037b95f7bbe3 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.