Triple

T11949950
Position Surface form Disambiguated ID Type / Status
Subject Dramatic Romances and Lyrics E284399 entity
Predicate hasPart P35 FINISHED
Object The Italian in England E956688 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: The Italian in England | Statement: [Dramatic Romances and Lyrics, hasPart, The Italian in England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Italian in England
Context triple: [Dramatic Romances and Lyrics, hasPart, The Italian in England]
  • A. The Italian in England chosen
    "The Italian in England" is a short story by Henry James that appears as one of the pieces in his collection *Men and Women*.
  • B. The Englishman in Italy
    "The Englishman in Italy" is a dramatic monologue poem by Robert Browning that portrays an English traveler’s vivid impressions of Italian life and landscape.
  • C. The Italian Woman
    The Italian Woman is a 1915 American silent drama film directed by Reginald Barker and starring Clara Williams.
  • D. A Song of Italy
    A Song of Italy is a politically charged poem by Algernon Charles Swinburne celebrating Italian unification and republican ideals.
  • E. Il turco in Italia
    Il turco in Italia is a comic opera by Gioachino Rossini that playfully explores romantic entanglements and cultural misunderstandings in 18th-century Naples.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90364c2608190a3946c9595c71164 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48a83c2448190bb40c199afef2ec2 completed May 1, 2026, 11:12 a.m.
Created at: April 8, 2026, 9:45 p.m.