Triple

T2808386
Position Surface form Disambiguated ID Type / Status
Subject Olivier Blanchard E54107 entity
Predicate familyName P18 FINISHED
Object Blanchard
Blanchard is a French surname borne by numerous notable figures, including economists, politicians, and artists.
 E299041 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: Blanchard | Statement: [Olivier Blanchard, familyName, Blanchard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blanchard
Context triple: [Olivier Blanchard, familyName, Blanchard]
  • A. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • B. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • C. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • D. Dix
    Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
  • E. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • 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: Blanchard
Triple: [Olivier Blanchard, familyName, Blanchard]
Generated description
Blanchard is a French surname borne by numerous notable figures, including economists, politicians, and artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blanchard
Target entity description: Blanchard is a French surname borne by numerous notable figures, including economists, politicians, and artists.
  • A. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • B. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • C. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • D. Dix
    Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
  • E. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2fdcf88190a52e515c166ea8f7 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc678d6488190be73244b7e78f30c completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc79deb2081908b0bfa5f14395503 completed March 10, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69afc82ac1148190a254415e336ba1e3 completed March 10, 2026, 7:28 a.m.
Created at: March 6, 2026, 9:59 p.m.