Triple

T4706881
Position Surface form Disambiguated ID Type / Status
Subject John F. Clauser E104409 entity
Predicate familyName P18 FINISHED
Object Clauser
Clauser is the surname of John F. Clauser, an American physicist and Nobel laureate known for his pioneering experimental tests of quantum mechanics and Bell's inequalities.
 E463603 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: Clauser | Statement: [John F. Clauser, familyName, Clauser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clauser
Context triple: [John F. Clauser, familyName, Clauser]
  • A. Klausi
    Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
  • B. Borchers
    Borchers is a German surname associated with various notable individuals in fields such as aviation, academia, and the arts.
  • C. Clevsin
    Clevsin is the ancient Etruscan name for the Italian town of Chiusi, a significant center of Etruscan civilization in central Italy.
  • D. Bridgman
    Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
  • E. Elster
    Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
  • 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: Clauser
Triple: [John F. Clauser, familyName, Clauser]
Generated description
Clauser is the surname of John F. Clauser, an American physicist and Nobel laureate known for his pioneering experimental tests of quantum mechanics and Bell's inequalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clauser
Target entity description: Clauser is the surname of John F. Clauser, an American physicist and Nobel laureate known for his pioneering experimental tests of quantum mechanics and Bell's inequalities.
  • A. Klausi
    Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
  • B. Borchers
    Borchers is a German surname associated with various notable individuals in fields such as aviation, academia, and the arts.
  • C. Clevsin
    Clevsin is the ancient Etruscan name for the Italian town of Chiusi, a significant center of Etruscan civilization in central Italy.
  • D. Bridgman
    Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
  • E. Elster
    Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63e9f0b88190820aa7fba2f91b6e completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be106d1fc08190808c19025c6f37c4 completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be112d37bc8190bed120740ceb9726 completed March 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69be11ab38308190a6c1a9fa8a5154ce completed March 21, 2026, 3:34 a.m.
Created at: March 20, 2026, 1:17 p.m.