Triple

T3249297
Position Surface form Disambiguated ID Type / Status
Subject Frozen II E68136 entity
Predicate characterFeatured P12208 FINISHED
Object Kristoff E173080 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: Kristoff | Statement: [Frozen II, characterFeatured, Kristoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristoff
Context triple: [Frozen II, characterFeatured, Kristoff]
  • A. Kristoff chosen
    Kristoff is a rugged, kind-hearted ice harvester and one of the central human protagonists in Disney's animated film "Frozen."
  • B. Olaf
    Olaf is a masculine given name of Old Norse origin, commonly used in Germanic and Scandinavian countries.
  • C. Kristoff Krane
    Kristoff Krane is an American underground hip hop artist known for his introspective lyrics, experimental style, and collaborations within the Minneapolis music scene.
  • D. Nils
    Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
  • E. Ice King
    Ice King is the nickname of Frederick Tudor, a 19th-century American entrepreneur who pioneered the international ice trade by shipping harvested ice worldwide.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28eb55734819093f470caacc3e29c completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:09 p.m.