Triple

T8391731
Position Surface form Disambiguated ID Type / Status
Subject Melissa Rauch E197957 entity
Predicate hasRole P161 FINISHED
Object Francine (Ice Age: Collision Course) E204725 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: Francine (Ice Age: Collision Course) | Statement: [Melissa Rauch, hasRole, Francine (Ice Age: Collision Course)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francine (Ice Age: Collision Course)
Context triple: [Melissa Rauch, hasRole, Francine (Ice Age: Collision Course)]
  • A. Francine chosen
    Francine is a feminine given name used in various cultures, often as a French-influenced variant of the name Frances.
  • B. Faline
    Faline is a young doe in Disney's animated film "Bambi," known as Bambi's childhood friend and later his mate.
  • C. Sandy Cheeks
    Sandy Cheeks is a Texan squirrel scientist and karate expert who lives in an air-filled dome under the sea in the animated series SpongeBob SquarePants.
  • D. Fawn
    Fawn is a family name most notably associated with the fictional aristocratic character Lord Fawn in Anthony Trollope’s Palliser novels.
  • E. Zibelle
    Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810e16b081908e2c25bfb9d590ed completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde84d6f3c8190ba12905ba5900087 completed April 2, 2026, 3:53 a.m.
Created at: March 30, 2026, 6:03 p.m.