Triple

T22743704
Position Surface form Disambiguated ID Type / Status
Subject Jasmin Repeša E562487 entity
Predicate givenName P17 FINISHED
Object Jasmin 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: Jasmin | Statement: [Jasmin Repeša, givenName, Jasmin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasmin
Context triple: [Jasmin Repeša, givenName, Jasmin]
  • A. Jasmin
    Jasmin is a Paris Métro station in the 16th arrondissement, named after the 19th-century French poet Jasmin.
  • B. Jasmine chosen
    Jasmine is a feminine given name commonly associated with the fragrant white flower and used in various cultures around the world.
  • C. Jasmine
    "Jasmine" is a critically acclaimed, genre-blending R&B/electronic track by British musician Jai Paul, known for its hazy production, distinctive vocal style, and cult status among music fans.
  • D. Jasmine
    Jasmine is the independent and strong-willed princess of Agrabah from Disney's Aladdin, known for challenging tradition and seeking freedom beyond palace walls.
  • E. Jasmine
    Jasmine is a powerful, manipulative higher being from the TV series "Angel" who seeks to impose a false utopia on humanity through mind control and worship.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17974c3208190ae1d6b05639cc942 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:23 p.m.