Triple

T10453499
Position Surface form Disambiguated ID Type / Status
Subject Bright Star E246491 entity
Predicate mainSubject P3 FINISHED
Object Fanny Brawne E233708 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: Fanny Brawne | Statement: [Bright Star, mainSubject, Fanny Brawne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fanny Brawne
Context triple: [Bright Star, mainSubject, Fanny Brawne]
  • A. Fanny Brawne chosen
    Fanny Brawne was the muse and fiancée of Romantic poet John Keats, remembered for their intense, tragic love affair preserved in his famous letters to her.
  • B. Fanny Nightingale
    Fanny Nightingale is a person notable for sharing the distinguished Nightingale surname, historically associated with prominent figures such as Florence Nightingale.
  • C. Fanny Trellis Skeffington
    Fanny Trellis Skeffington is the beautiful, vain New York socialite whose emotional and moral transformation drives the plot of the novel and film "Mr. Skeffington."
  • D. Fanny
    Fanny is one of the central child protagonists in Enid Blyton’s classic fantasy series "The Magic Faraway Tree," known for her adventurous spirit and explorations of the magical lands at the top of the tree.
  • E. Fanny
    Fanny is a feminine given name commonly used in various European and English-speaking countries.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe0d73d48190acb687b96918e0cf completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f07c9f48190b0fce7740a2e003a completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:17 p.m.