Triple

T22094702
Position Surface form Disambiguated ID Type / Status
Subject Gust Avrakotos E545994 entity
Predicate givenName P17 FINISHED
Object Gust NE NERFINISHED

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: Gust | Statement: [Gust Avrakotos, givenName, Gust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gust
Context triple: [Gust Avrakotos, givenName, Gust]
  • A. Gust chosen
    Gust is the given name of Gust Avrakotos, a notable CIA officer known for his role in covert operations during the Cold War.
  • B. Gust Jar
    The Gust Jar is a magical vacuum-like tool in The Legend of Zelda: The Minish Cap that lets Link suck up enemies, objects, and obstacles or propel himself by releasing stored air.
  • C. Breeze
    Breeze is a web conferencing and e-learning software platform originally developed by Macromedia for online presentations, training, and collaboration.
  • D. Gusties
    Gusties is the nickname for the athletic teams representing Gustavus Adolphus College.
  • E. Eo Gió
    Eo Gió is a scenic coastal area in Bình Định Province, Vietnam, known for its dramatic cliffs, clear blue waters, and panoramic sea views that attract many tourists and photographers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e82c1481908701f255b834f192 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.