Triple

T13965183
Position Surface form Disambiguated ID Type / Status
Subject Gitte Nielsen E335903 entity
Predicate notableWork P4 FINISHED
Object Red Sonja E333501 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: Red Sonja | Statement: [Gitte Nielsen, notableWork, Red Sonja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Sonja
Context triple: [Gitte Nielsen, notableWork, Red Sonja]
  • A. Red Sonja chosen
    Red Sonja is a sword-and-sorcery comic book heroine known for her fiery red hair, chainmail bikini armor, and fierce warrior persona in the Conan the Barbarian universe.
  • B. Conan the Barbarian
    Conan the Barbarian is a 1982 fantasy adventure film that helped launch Arnold Schwarzenegger to stardom through his portrayal of the iconic sword-and-sorcery hero.
  • C. Witchblade
    Witchblade is a supernatural comic book series, later adapted into television, centered on a mystical, sentient gauntlet that grants its female wielder powerful abilities.
  • D. The Jungle Goddess
    The Jungle Goddess is a 1922 silent adventure film featuring jungle exploits and early cinematic action, associated with actor Gordon Griffith.
  • E. Witch of the North
    The Witch of the North is a benevolent magical figure in L. Frank Baum’s Oz universe, known for aiding Dorothy and protecting the Munchkins.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7e24f08190ba939a8044860033 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d890d48190affd194b2439c271 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.