Triple

T9653041
Position Surface form Disambiguated ID Type / Status
Subject Sofia the First E233381 entity
Predicate hasCharacter P2308 FINISHED
Object Flora
Flora is one of the three good fairies who serve as royal advisors and magical guardians in the animated children's series "Sofia the First."
 E813477 NE FINISHED

How this triple was built (4 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: Flora | Statement: [Sofia the First, hasCharacter, Flora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flora
Context triple: [Sofia the First, hasCharacter, Flora]
  • A. Flora
    Flora is a celebrated 19th-century botanical illustration by Mary Evelyn Pickering that showcases her detailed and artistic rendering of plant life.
  • B. Flora
    Flora is a symbolist painting by Evelyn De Morgan depicting the Roman goddess of flowers and spring in a richly allegorical, Pre-Raphaelite-inspired style.
  • C. Flora
    Flora is the young niece in Henry James's novella "The Turn of the Screw," whose eerie innocence and ambiguous relationship to the supernatural are central to the story's psychological horror.
  • D. Flora
    Flora is the middle name of Ruth Disney, the daughter of Walt Disney and his wife Lillian.
  • E. Flora
    Flora is a feminine given name of Latin origin meaning "flower," historically associated with the Roman goddess of flowers and spring.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Flora
Triple: [Sofia the First, hasCharacter, Flora]
Generated description
Flora is one of the three good fairies who serve as royal advisors and magical guardians in the animated children's series "Sofia the First."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flora
Target entity description: Flora is one of the three good fairies who serve as royal advisors and magical guardians in the animated children's series "Sofia the First."
  • A. Flora
    Flora is one of the three good fairies in Disney's "Sleeping Beauty," known for her red attire, leadership among the fairies, and role in protecting Princess Aurora.
  • B. Flora
    Flora is the young niece in Henry James's novella "The Turn of the Screw," whose eerie innocence and ambiguous relationship to the supernatural are central to the story's psychological horror.
  • C. Flora
    Flora is the middle name of Ruth Disney, the daughter of Walt Disney and his wife Lillian.
  • D. Flora
    Flora is a symbolist painting by Evelyn De Morgan depicting the Roman goddess of flowers and spring in a richly allegorical, Pre-Raphaelite-inspired style.
  • E. Flora
    Flora is a feminine given name of Latin origin meaning "flower," historically associated with the Roman goddess of flowers and spring.
  • F. None of above. chosen

Provenance (5 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bb26b748190bc32e2003829b0ec completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a03438c8190a3419cbed7af4cd4 completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18a7f4074819086316d0236f09e0b completed April 4, 2026, 10:02 p.m.
NED2 Entity disambiguation (via description) batch_69d18af220808190b91eb750f2939e4e completed April 4, 2026, 10:04 p.m.
Created at: March 30, 2026, 8:13 p.m.