Triple

T22791198
Position Surface form Disambiguated ID Type / Status
Subject Xeni Jardin E564113 entity
Predicate familyName P18 FINISHED
Object Jardin NE NERFINISHED

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: Jardin | Statement: [Xeni Jardin, familyName, Jardin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jardin
Context triple: [Xeni Jardin, familyName, Jardin]
  • A. Jardin chosen
    Jardin is the surname of Xeni Jardin, an American journalist, blogger, and co-editor of the collaborative weblog Boing Boing.
  • B. Jardín
    Jardín is a celebrated novel by Cuban writer Dulce María Loynaz, known for its poetic prose and introspective exploration of a young woman's inner life.
  • C. Jardin Blanc
    Jardin Blanc is a secluded, contemporary-style garden within Paris’s Parc André Citroën, known for its tranquil atmosphere and carefully designed landscaping.
  • D. Jardin des Cimes
    Jardin des Cimes is a scenic alpine garden and visitor site in the French Alps featuring themed botanical areas, art installations, and panoramic views of the Mont Blanc massif.
  • E. Jardin des Equilibres
    Jardin des Equilibres is a themed contemporary garden within Paris’s Parc de la Villette, known for its artistic landscaping and exploration of balance between nature, architecture, and urban space.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c3545fc819084af67cc25e94839 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:30 p.m.