Triple

T13920708
Position Surface form Disambiguated ID Type / Status
Subject Françoise Rosay E334733 entity
Predicate familyName P18 FINISHED
Object Rosay
Rosay is a French surname most notably borne by acclaimed actress Françoise Rosay.
E1069643 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: Rosay | Statement: [Françoise Rosay, familyName, Rosay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosay
Context triple: [Françoise Rosay, familyName, Rosay]
  • A. Barré
    Barré is a French-origin surname borne by various notable individuals in politics, arts, and other fields.
  • B. Niesen
    Niesen is a prominent pyramid-shaped mountain in the Swiss Alps overlooking Lake Thun in the Bernese Oberland.
  • C. Behçet
    Behçet is a Turkish surname most notably associated with dermatologist Hulusi Behçet, after whom Behçet's disease is named.
  • D. Reynaud
    Reynaud is a French surname borne by various notable figures in fields such as politics, the arts, and science.
  • E. Netherton
    Netherton is a suburban area within the Metropolitan Borough of Sefton in Merseyside, England.
  • 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: Rosay
Triple: [Françoise Rosay, familyName, Rosay]
Generated description
Rosay is a French surname most notably borne by acclaimed actress Françoise Rosay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rosay
Target entity description: Rosay is a French surname most notably borne by acclaimed actress Françoise Rosay.
  • A. Barré
    Barré is a French-origin surname borne by various notable individuals in politics, arts, and other fields.
  • B. Niesen
    Niesen is a prominent pyramid-shaped mountain in the Swiss Alps overlooking Lake Thun in the Bernese Oberland.
  • C. Behçet
    Behçet is a Turkish surname most notably associated with dermatologist Hulusi Behçet, after whom Behçet's disease is named.
  • D. Reynaud
    Reynaud is a French surname borne by various notable figures in fields such as politics, the arts, and science.
  • E. Netherton
    Netherton is a suburban area within the Metropolitan Borough of Sefton in Merseyside, England.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa428ac819084e7c4b244d15f20 completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7c4a788190a1e7619a00ab0c2e completed May 3, 2026, 10:38 p.m.
NEDg Description generation batch_69f9fd5b82f48190b0b89ddca25883cc completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69f9fea0a9dc8190b5b65dfec9626949 completed May 5, 2026, 2:28 p.m.
Created at: April 9, 2026, 10:16 p.m.