Triple

T15494253
Position Surface form Disambiguated ID Type / Status
Subject Francis E378772 entity
Predicate hasVariant P455 FINISHED
Object Frances E12143 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: Frances | Statement: [Francis, hasVariant, Frances]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frances
Context triple: [Francis, hasVariant, Frances]
  • A. Frances chosen
    Frances is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • B. Frances
    Frances is the Allied reporting name for the Japanese Yokosuka P1Y twin-engine land-based bomber used by the Imperial Japanese Navy during World War II.
  • C. Illinizas
    Illinizas is a pair of closely spaced volcanic peaks in the Ecuadorian Andes, popular with climbers for their challenging ascents and striking high-altitude scenery.
  • D. Oneida
    Oneida is an experimental rock band from Brooklyn, New York, known for its long-form, improvisational, and genre-blending psychedelic sound.
  • E. Frederica
    Frederica is a feminine given name of Germanic origin that has been borne by various European royals and notable women.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3662f3388190b75ffe3ce418f36d completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:49 a.m.