Triple

T6576579
Position Surface form Disambiguated ID Type / Status
Subject Victor Saville E157178 entity
Predicate directed P7373 FINISHED
Object Evergreen E602355 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: Evergreen | Statement: [Victor Saville, directed, Evergreen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evergreen
Context triple: [Victor Saville, directed, Evergreen]
  • A. Evergreen
    Evergreen is a literary imprint known for publishing innovative and influential works, particularly in avant-garde and progressive literature.
  • B. Evergreen
    Evergreen is a small city in southern Alabama that serves as the administrative and commercial center of Conecuh County.
  • C. Evergreen chosen
    Evergreen is a 1934 British musical film directed by Victor Saville, known for its blend of romance, comedy, and popular songs of the era.
  • D. The Ever Green
    The Ever Green is a landmark early 18th-century anthology of older Scottish poetry compiled and edited by Allan Ramsay, which helped revive interest in Scotland’s literary heritage.
  • E. Evergreen globe
    Evergreen globe is the distinctive green-and-white globe emblem used as the corporate logo of EVA Air and its parent Evergreen Group, symbolizing their global reach in aviation and shipping.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7399488190b5f6948c60188aec completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d56fe8f08190ad30773f29b207c5 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:54 p.m.