Triple

T7138819
Position Surface form Disambiguated ID Type / Status
Subject Silky the Fairy E166384 entity
Predicate setting P1957 FINISHED
Object the Enchanted Wood E166380 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: the Enchanted Wood | Statement: [Silky the Fairy, setting, the Enchanted Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Enchanted Wood
Context triple: [Silky the Fairy, setting, the Enchanted Wood]
  • A. The Enchanted Wood chosen
    The Enchanted Wood is a children's fantasy novel by Enid Blyton that introduces a magical forest filled with talking trees, strange folk, and a towering tree leading to ever-changing magical lands.
  • B. The Enchanted Forest
    The Enchanted Forest is a fairy tale–themed amusement park in New York that later expanded into the Enchanted Forest Water Safari.
  • C. Enchanted Forest
    The Enchanted Forest is a mystical, fog-shrouded woodland in Disney's Frozen II, protected by elemental spirits and central to uncovering Arendelle’s hidden past.
  • D. La forêt enchantée
    La forêt enchantée is a Baroque orchestral work by Italian composer Francesco Geminiani, noted for its vivid, programmatic depiction of an enchanted forest.
  • E. The Wood
    "The Wood" is a 1999 coming-of-age comedy-drama film that follows three lifelong friends in Inglewood, California, as they reminisce about their youth on the day of one friend's wedding.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e694cc3c81908b0d54c2496a0722 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e510cb488190abde1c66e2fa4db4 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:45 p.m.