Triple

T23317582
Position Surface form Disambiguated ID Type / Status
Subject Miranda Raison E590751 entity
Predicate familyName P18 FINISHED
Object Raison
Raison is a surname of French origin borne by various individuals, including the English actress Miranda Raison.
E1580973 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: Raison | Statement: [Miranda Raison, familyName, Raison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raison
Context triple: [Miranda Raison, familyName, Raison]
  • A. Rasoun
    Rasoun is a small town in northern Jordan located within the hilly, forested region of Ajloun Governorate.
  • B. Loix
    Loix is a small coastal village situated on the Île de Ré in western France, known for its salt marshes and traditional island charm.
  • C. Racamier
    Racamier is a French surname most notably borne by Henri Racamier, the businessman who transformed Louis Vuitton into a global luxury brand.
  • D. Roure
    Roure is a small mountain commune in southeastern France, located in the Alpes-Maritimes department within the Provence-Alpes-Côte d’Azur region.
  • E. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • 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: Raison
Triple: [Miranda Raison, familyName, Raison]
Generated description
Raison is a surname of French origin borne by various individuals, including the English actress Miranda Raison.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Raison
Target entity description: Raison is a surname of French origin borne by various individuals, including the English actress Miranda Raison.
  • A. Rasoun
    Rasoun is a small town in northern Jordan located within the hilly, forested region of Ajloun Governorate.
  • B. Loix
    Loix is a small coastal village situated on the Île de Ré in western France, known for its salt marshes and traditional island charm.
  • C. Racamier
    Racamier is a French surname most notably borne by Henri Racamier, the businessman who transformed Louis Vuitton into a global luxury brand.
  • D. Roure
    Roure is a small mountain commune in southeastern France, located in the Alpes-Maritimes department within the Provence-Alpes-Côte d’Azur region.
  • E. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197828c408190ae071624e40de4cc completed April 29, 2026, 5:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4ca60aac819088dafd529a37d2e3 completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4f37e390819083df9a959acf3a32 completed May 19, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4fdafde88190a7ac791189acde68 completed May 19, 2026, 11:56 a.m.
Created at: April 17, 2026, 5:06 p.m.