Triple

T10892708
Position Surface form Disambiguated ID Type / Status
Subject Jennie E257220 entity
Predicate hasSpellingVariant P457 FINISHED
Object Jenny unclear NED1 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: Jenny | Statement: [Jennie, hasSpellingVariant, Jenny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenny
Context triple: [Jennie, hasSpellingVariant, Jenny]
  • A. Jenny
    Jenny is the main character of the story "Mosquitoes," around whom the narrative and its central events revolve.
  • B. Jenny
    "Jenny" is a narrative poem by Dante Gabriel Rossetti that explores themes of desire, morality, and Victorian attitudes toward prostitution through a reflective monologue addressed to a fallen woman.
  • C. Jenny
    Jenny is a character from the traditional Scottish song "Comin' Thro' the Rye," often depicted as a carefree young woman associated with themes of love and rural life.
  • D. Jenny
    Jenny is a central character in Kurt Weill and Bertolt Brecht’s opera "Rise and Fall of the City of Mahagonny," often portrayed as a pragmatic, disillusioned prostitute who embodies the work’s critique of capitalist excess and moral decay.
  • E. Jenny
    Jenny is the wife of Charlie.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75206354881908b148f2df3938513 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23b9e5ddc81908cbd27e8db49dbaf completed April 17, 2026, 1:54 p.m.
Created at: April 8, 2026, 9:21 p.m.