Triple

T11950222
Position Surface form Disambiguated ID Type / Status
Subject Sylvie and Bruno E284406 entity
Predicate featuresCharacter P626 FINISHED
Object Sylvie E170253 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: Sylvie | Statement: [Sylvie and Bruno, featuresCharacter, Sylvie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvie
Context triple: [Sylvie and Bruno, featuresCharacter, Sylvie]
  • A. Sylvie chosen
    Sylvie is a feminine given name, often used as a French variant of Sylvia, associated with meanings related to the forest or woods.
  • B. Yvaine
    Yvaine is the fallen star and central heroine of Neil Gaiman’s fantasy novel (and its film adaptation) "Stardust," whose journey intertwines magic, romance, and adventure.
  • C. Sybille
    Sybille was a French frigate that took part in the early 19th-century naval engagement known as the Battle of San Domingo.
  • D. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • E. Marthette
    Marthette is a feminine given name, used as a diminutive or affectionate variant of the name Marthe.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90364c2608190a3946c9595c71164 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458f16f088190a0005ff0fd4f547f completed May 1, 2026, 7:40 a.m.
Created at: April 8, 2026, 9:45 p.m.