Triple

T10855197
Position Surface form Disambiguated ID Type / Status
Subject Eleanor H. Porter E256249 entity
Predicate wrote P2831 FINISHED
Object Georgina of the Rainbows E472597 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: Georgina of the Rainbows | Statement: [Eleanor H. Porter, wrote, Georgina of the Rainbows]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgina of the Rainbows
Context triple: [Eleanor H. Porter, wrote, Georgina of the Rainbows]
  • A. Georgette
    Georgette is a comic servant character in Molière’s play "L’École des femmes," known for her earthy wit and role in highlighting the play’s social and gender tensions.
  • B. Georgina chosen
    Georgina is a feminine given name used in various English-speaking and European countries, often considered a variant of Georgia or the feminine form of George.
  • C. Georgina
    Georgina is a lakeside town in Ontario, Canada, known for its recreational waterfront communities and proximity to Lake Simcoe.
  • D. Gwendolyn
    Gwendolyn is a feminine given name most famously borne by the Pulitzer Prize–winning American poet Gwendolyn Brooks.
  • E. Tamsin
    Tamsin is a feminine given name of English origin, often associated with actresses and public figures such as Tamsin Egerton.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75135df24819090ce43afa3ea9b38 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb18a48248190999f95abc979fa74 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.