Triple

T8105816
Position Surface form Disambiguated ID Type / Status
Subject César Milstein E189222 entity
Predicate familyName P18 FINISHED
Object Milstein
Milstein is a surname most notably associated with Nobel Prize–winning immunologist César Milstein and several other prominent figures in science and the arts.
 E709941 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: Milstein | Statement: [César Milstein, familyName, Milstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Milstein
Context triple: [César Milstein, familyName, Milstein]
  • A. Pearlstein
    Pearlstein is a surname most notably associated with American realist painter Philip Pearlstein, renowned for his large-scale nude figure paintings.
  • B. Ussishkin
    Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
  • C. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • D. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • E. Orlovsky
    Orlovsky is a surname most notably associated with Peter Orlovsky, the American poet and longtime partner of Beat Generation writer Allen Ginsberg.
  • 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: Milstein
Triple: [César Milstein, familyName, Milstein]
Generated description
Milstein is a surname most notably associated with Nobel Prize–winning immunologist César Milstein and several other prominent figures in science and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Milstein
Target entity description: Milstein is a surname most notably associated with Nobel Prize–winning immunologist César Milstein and several other prominent figures in science and the arts.
  • A. Pearlstein
    Pearlstein is a surname most notably associated with American realist painter Philip Pearlstein, renowned for his large-scale nude figure paintings.
  • B. Ussishkin
    Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
  • C. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • D. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • E. Orlovsky
    Orlovsky is a surname most notably associated with Peter Orlovsky, the American poet and longtime partner of Beat Generation writer Allen Ginsberg.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42f735c8819090d0d822644c0a51 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc6422fb4c8190a5e7bedd323241d7 completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc6544909c819097529c279926e9cd completed April 1, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69cc686f343081908f56809d297fdac0 completed April 1, 2026, 12:35 a.m.
Created at: March 30, 2026, 5:31 p.m.