Triple

T2621786
Position Surface form Disambiguated ID Type / Status
Subject Flora Call Disney E59024 entity
Predicate givenName P17 FINISHED
Object Flora E245588 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: Flora | Statement: [Flora Call Disney, givenName, Flora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flora
Context triple: [Flora Call Disney, givenName, Flora]
  • A. 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.
  • B. Flora chosen
    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. Hyacinth
    Hyacinth is a given name of Greek origin, historically associated with mythological and floral imagery and used for people of any gender.
  • D. Petaloudes
    Petaloudes is a picturesque valley on the island of Rhodes in Greece, famous for its seasonal swarms of colorful butterflies that attract many visitors.
  • E. Phylica
    Phylica is a genus of flowering shrubs and small trees, many of which are native to South Africa and known for their dense foliage and adaptation to fynbos habitats.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8993c4481908fecdb235e4e731c completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af909918b88190905df6637ec0e412 completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.