Triple

T23461011
Position Surface form Disambiguated ID Type / Status
Subject Marcel Bleustein-Blanchet E568972 entity
Predicate familyName P18 FINISHED
Object Bleustein
Bleustein is a French surname most notably associated with Marcel Bleustein-Blanchet, the pioneering founder of the advertising agency Publicis.
 E1589384 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: Bleustein | Statement: [Marcel Bleustein-Blanchet, familyName, Bleustein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bleustein
Context triple: [Marcel Bleustein-Blanchet, familyName, Bleustein]
  • A. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • B. Bluwstein
    Bluwstein is the surname of Rachel Bluwstein, a renowned Hebrew poet considered a pioneer of modern Hebrew women's poetry.
  • C. Schatzberg
    Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
  • D. Bleyl
    Bleyl is a German surname most notably associated with Fritz Bleyl, a founding member of the early 20th-century expressionist group Die Brücke.
  • E. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • 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: Bleustein
Triple: [Marcel Bleustein-Blanchet, familyName, Bleustein]
Generated description
Bleustein is a French surname most notably associated with Marcel Bleustein-Blanchet, the pioneering founder of the advertising agency Publicis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bleustein
Target entity description: Bleustein is a French surname most notably associated with Marcel Bleustein-Blanchet, the pioneering founder of the advertising agency Publicis.
  • A. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • B. Bluwstein
    Bluwstein is the surname of Rachel Bluwstein, a renowned Hebrew poet considered a pioneer of modern Hebrew women's poetry.
  • C. Schatzberg
    Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
  • D. Bleyl
    Bleyl is a German surname most notably associated with Fritz Bleyl, a founding member of the early 20th-century expressionist group Die Brücke.
  • E. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a69bc200819096ed2baf25cdee4f completed April 29, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c825113588190a251450dc28f737b completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6eee2f48190b4e03039c4c96abe completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca80db6288190ae99313c1f2485db completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 5:53 p.m.