Triple

T7563748
Position Surface form Disambiguated ID Type / Status
Subject Stanley Mazor E178857 entity
Predicate familyName P18 FINISHED
Object Mazor
Mazor is a surname most notably associated with Stanley Mazor, a pioneering American engineer and co-designer of the first commercial microprocessor.
 E674040 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: Mazor | Statement: [Stanley Mazor, familyName, Mazor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mazor
Context triple: [Stanley Mazor, familyName, Mazor]
  • A. Philips Wing
    Philips Wing is a modern exhibition and gallery space within Amsterdam’s Rijksmuseum, often used for temporary and special exhibitions.
  • B. Jenefar
    Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
  • C. DEKA Arm System
    The DEKA Arm System is an advanced prosthetic limb designed to provide highly dexterous, near-natural arm and hand function for amputees using sophisticated sensors and control systems.
  • D. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • E. Neometron
    Neometron is a company founded by computer scientist and software engineer Adele Goldberg, known for her pioneering work in object-oriented programming and graphical user interfaces.
  • 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: Mazor
Triple: [Stanley Mazor, familyName, Mazor]
Generated description
Mazor is a surname most notably associated with Stanley Mazor, a pioneering American engineer and co-designer of the first commercial microprocessor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mazor
Target entity description: Mazor is a surname most notably associated with Stanley Mazor, a pioneering American engineer and co-designer of the first commercial microprocessor.
  • A. Philips Wing
    Philips Wing is a modern exhibition and gallery space within Amsterdam’s Rijksmuseum, often used for temporary and special exhibitions.
  • B. Jenefar
    Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
  • C. DEKA Arm System
    The DEKA Arm System is an advanced prosthetic limb designed to provide highly dexterous, near-natural arm and hand function for amputees using sophisticated sensors and control systems.
  • D. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • E. Neometron
    Neometron is a company founded by computer scientist and software engineer Adele Goldberg, known for her pioneering work in object-oriented programming and graphical user interfaces.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fb1c00819096bdb73334d8d72e completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d8206081909987556fb6ab7084 completed March 28, 2026, 10:31 p.m.
NEDg Description generation batch_69c85918e70481908502cb86a31edc14 completed March 28, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69c85982256081908263d5f25c6e99b5 completed March 28, 2026, 10:43 p.m.
Created at: March 27, 2026, 3:50 p.m.