Triple

T18262451
Position Surface form Disambiguated ID Type / Status
Subject Sapphira Dodderidge Colbert E437393 entity
Predicate givenName P17 FINISHED
Object Sapphira NE NERFINISHED

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: Sapphira | Statement: [Sapphira Dodderidge Colbert, givenName, Sapphira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sapphira
Context triple: [Sapphira Dodderidge Colbert, givenName, Sapphira]
  • A. Bethia
    Bethia was the original name of the British merchant vessel that was later purchased by the Royal Navy and renamed HMS Bounty, famed for the 1789 mutiny.
  • B. Sylvana
    Sylvana is a feminine given name, often considered a variant of Silvana, typically associated with meanings related to forests or woodland.
  • C. Lysandra
    Lysandra was a Hellenistic princess of the early Ptolemaic dynasty who became politically significant through her marriages into other ruling families of the era.
  • D. Safira chosen
    Safira is a feminine given name, often associated with the word "sapphire" and used in various cultures.
  • E. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff77882c81909774aefc57ccca3e completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.