Triple

T20038695
Position Surface form Disambiguated ID Type / Status
Subject Pierre Bonaparte E497350 entity
Predicate spouse P13 FINISHED
Object Justine Éléonore Ruflin
Justine Éléonore Ruflin was the wife of French prince Pierre Bonaparte, a member of the Bonaparte imperial family.
E1406927 NE FINISHED

How this triple was built (4 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: Justine Éléonore Ruflin | Statement: [Pierre Bonaparte, spouse, Justine Éléonore Ruflin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Justine Éléonore Ruflin
Context triple: [Pierre Bonaparte, spouse, Justine Éléonore Ruflin]
  • A. Lucie Miller
    Lucie Miller is a companion of the Eighth Doctor in the Doctor Who audio dramas, known for her sharp wit, modern attitude, and central role in several major story arcs.
  • B. Lucie Zoé Marie Jamin
    Lucie Zoé Marie Jamin was the wife of French physicist and Nobel laureate Henri Becquerel.
  • C. Mathilde Tessier
    Mathilde Tessier is the young student protagonist of the French film "Noce Blanche," whose intense and forbidden relationship with her philosophy teacher drives the movie’s central drama.
  • D. Lucie de Mirecourt
    Lucie de Mirecourt is a character in the 1935 French film "Princesse Tam-Tam," which stars Josephine Baker.
  • E. Justine
    Justine is a film featuring actress and singer Romina Power, known as one of her notable screen roles.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Justine Éléonore Ruflin
Triple: [Pierre Bonaparte, spouse, Justine Éléonore Ruflin]
Generated description
Justine Éléonore Ruflin was the wife of French prince Pierre Bonaparte, a member of the Bonaparte imperial family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Justine Éléonore Ruflin
Target entity description: Justine Éléonore Ruflin was the wife of French prince Pierre Bonaparte, a member of the Bonaparte imperial family.
  • A. Lucie Miller
    Lucie Miller is a companion of the Eighth Doctor in the Doctor Who audio dramas, known for her sharp wit, modern attitude, and central role in several major story arcs.
  • B. Lucie Zoé Marie Jamin
    Lucie Zoé Marie Jamin was the wife of French physicist and Nobel laureate Henri Becquerel.
  • C. Mathilde Tessier
    Mathilde Tessier is the young student protagonist of the French film "Noce Blanche," whose intense and forbidden relationship with her philosophy teacher drives the movie’s central drama.
  • D. Lucie de Mirecourt
    Lucie de Mirecourt is a character in the 1935 French film "Princesse Tam-Tam," which stars Josephine Baker.
  • E. Justine
    Justine is a film featuring actress and singer Romina Power, known as one of her notable screen roles.
  • F. None of above. chosen

Provenance (5 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e9e99c81909b7d50eac893c414 completed April 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e39542c8190b94ae9d8212026a8 completed May 16, 2026, 6:27 a.m.
NEDg Description generation batch_6a080ec9c56481908b69834b5a1ae105 completed May 16, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_6a080f6e218c8190b4c7b0d5de9f984c completed May 16, 2026, 6:32 a.m.
Created at: April 11, 2026, 3:36 p.m.