Triple

T11218276
Position Surface form Disambiguated ID Type / Status
Subject Juliana Bordereau E265493 entity
Predicate hasRelative P367 FINISHED
Object Tina Bordereau E265494 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: Tina Bordereau | Statement: [Juliana Bordereau, hasRelative, Tina Bordereau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tina Bordereau
Context triple: [Juliana Bordereau, hasRelative, Tina Bordereau]
  • A. Miss Tina Bordereau chosen
    Miss Tina Bordereau is a reclusive, emotionally complex woman in Henry James’s novella "The Aspern Papers," whose guarded connection to the poet Jeffrey Aspern makes her central to the story’s intrigue over literary legacy and personal sacrifice.
  • B. Blanchette
    Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
  • C. Margency
    Margency is a small suburban commune in the Val-d'Oise department in northern France, located in the Île-de-France region near Paris.
  • D. Dominique
    Dominique is a French given name commonly used for both males and females, notably borne by figures such as former IMF chief Dominique Strauss-Kahn.
  • E. Charlotte Hugonin
    Charlotte Hugonin was the wife of prominent 19th-century Scottish geologist Sir Roderick Murchison.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ea19e8819095d5d02c1f145534 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4976f38788190855aed6338d819b7 completed April 19, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:30 p.m.