Triple

T6782149
Position Surface form Disambiguated ID Type / Status
Subject Segrè E155708 entity
Predicate hasNotableBearer P458 FINISHED
Object Sergio Segrè
Sergio Segrè is an individual notable enough to be recognized as a prominent bearer of the Italian surname Segrè.
E630274 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: Sergio Segrè | Statement: [Segrè, hasNotableBearer, Sergio Segrè]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergio Segrè
Context triple: [Segrè, hasNotableBearer, Sergio Segrè]
  • A. Luigi Segrè
    Luigi Segrè was an Italian automobile designer best known for his work with the coachbuilder Carrozzeria Ghia in the mid-20th century.
  • B. Corrado Segrè
    Corrado Segrè was an Italian mathematician known for his influential work in algebraic geometry and for mentoring several prominent 20th-century mathematicians.
  • C. Marco Segrè
    Marco Segrè is an individual notable enough to be recognized as a prominent bearer of the surname Segrè.
  • D. Guido Segre
    Guido Segre was an Italian Jewish businessman and politician active during the early 20th century, known for his involvement in Italy’s economic and public life.
  • E. Emilio Segrè
    Emilio Segrè was an Italian-American physicist and Nobel laureate known for co-discovering the antiproton and contributing to the development of nuclear physics and the Manhattan Project.
  • 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: Sergio Segrè
Triple: [Segrè, hasNotableBearer, Sergio Segrè]
Generated description
Sergio Segrè is an individual notable enough to be recognized as a prominent bearer of the Italian surname Segrè.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sergio Segrè
Target entity description: Sergio Segrè is an individual notable enough to be recognized as a prominent bearer of the Italian surname Segrè.
  • A. Luigi Segrè
    Luigi Segrè was an Italian automobile designer best known for his work with the coachbuilder Carrozzeria Ghia in the mid-20th century.
  • B. Corrado Segrè
    Corrado Segrè was an Italian mathematician known for his influential work in algebraic geometry and for mentoring several prominent 20th-century mathematicians.
  • C. Marco Segrè
    Marco Segrè is an individual notable enough to be recognized as a prominent bearer of the surname Segrè.
  • D. Guido Segre
    Guido Segre was an Italian Jewish businessman and politician active during the early 20th century, known for his involvement in Italy’s economic and public life.
  • E. Emilio Segrè
    Emilio Segrè was an Italian-American physicist and Nobel laureate known for co-discovering the antiproton and contributing to the development of nuclear physics and the Manhattan Project.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d26c621c8190a6eddc0d395e13e4 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7582b5a0c819085e6b8d07d6ab2f7 completed March 28, 2026, 4:25 a.m.
NEDg Description generation batch_69c75928943881908b7d8e45d4e25cfe completed March 28, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c759a99b2c8190986ce5bc36502975 completed March 28, 2026, 4:31 a.m.
Created at: March 27, 2026, 2:14 p.m.