Triple

T634758
Position Surface form Disambiguated ID Type / Status
Subject Leon Cooper E16598 entity
Predicate familyName P18 FINISHED
Object Cooper
Cooper is a common English surname of occupational origin, traditionally referring to a maker or repairer of wooden casks and barrels.
 E79912 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: Cooper | Statement: [Leon Cooper, familyName, Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cooper
Context triple: [Leon Cooper, familyName, Cooper]
  • A. Charlie
    Charlie was the third nuclear test in the U.S. Operation Crossroads series, planned as an underwater detonation to study the effects of nuclear weapons on naval vessels.
  • B. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • C. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • D. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • E. Kenneth
    Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
  • 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: Cooper
Triple: [Leon Cooper, familyName, Cooper]
Generated description
Cooper is a common English surname of occupational origin, traditionally referring to a maker or repairer of wooden casks and barrels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cooper
Target entity description: Cooper is a common English surname of occupational origin, traditionally referring to a maker or repairer of wooden casks and barrels.
  • A. Charlie
    Charlie was the third nuclear test in the U.S. Operation Crossroads series, planned as an underwater detonation to study the effects of nuclear weapons on naval vessels.
  • B. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • C. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • D. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • E. Kenneth
    Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee4ee8481908ad45405e3f3835c completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57405d6f48190b55542d50d3a1f22 completed March 2, 2026, 11:27 a.m.
NEDg Description generation batch_69a574b91b2c8190a09d837f2462c1b3 completed March 2, 2026, 11:30 a.m.
NED2 Entity disambiguation (via description) batch_69a5751b2e3081908c4cc5d54fa78e9d completed March 2, 2026, 11:31 a.m.
Created at: March 1, 2026, 7:35 p.m.