Triple

T15042844
Position Surface form Disambiguated ID Type / Status
Subject Sapho E378643 entity
Predicate revisedAs P1121 FINISHED
Object Sapho (1884 revision) E999140 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: Sapho (1884 revision) | Statement: [Sapho, revisedAs, Sapho (1884 revision)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sapho (1884 revision)
Context triple: [Sapho, revisedAs, Sapho (1884 revision)]
  • A. Sapho chosen
    Sapho is an opera by French composer Jules Massenet, based on Alphonse Daudet’s novel about a Parisian artist’s tragic love affair with a young provincial man.
  • B. Sapho
    Sapho is an 1851 French opera by Charles Gounod, inspired by the life and legend of the ancient Greek poet Sappho.
  • C. La Pharisienne
    La Pharisienne is a psychological novel by French writer François Mauriac that explores themes of religious hypocrisy, moral rigidity, and inner torment within a bourgeois Catholic milieu.
  • D. La Sablonière
    La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
  • E. Sapho and Phao
    Sapho and Phao is a 1584 Elizabethan prose comedy by John Lyly that dramatizes a stylized love story between Queen Sapho and the ferryman Phao, notable for its courtly wit and allegorical elements.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82f73208190bb55fa6b20074e27 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b96ae08190b15873634b67e8d9 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3 a.m.