Triple

T19266915
Position Surface form Disambiguated ID Type / Status
Subject Francine Frensky E481807 entity
Predicate givenName P17 FINISHED
Object Francine 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: Francine | Statement: [Francine Frensky, givenName, Francine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francine
Context triple: [Francine Frensky, givenName, Francine]
  • A. Francine chosen
    Francine is a feminine given name used in various cultures, often as a French-influenced variant of the name Frances.
  • B. Zibelle
    Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
  • C. Adolfine
    Adolfine is a character in the Swedish novel "Drottningens juvelsmycke" ("The Queen's Tiara"), part of the story’s ensemble surrounding the enigmatic protagonist Tintomara.
  • D. Faline
    Faline is a young doe in Disney's animated film "Bambi," known as Bambi's childhood friend and later his mate.
  • E. Rosalie
    Rosalie is the given first name of American actress and model Andie MacDowell.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8d58988190a942627b1fb79285 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:29 p.m.