Triple

T2345066
Position Surface form Disambiguated ID Type / Status
Subject Walt Bellamy E45111 entity
Predicate familyName P18 FINISHED
Object Bellamy
Bellamy is a surname of English and French origin borne by various notable individuals across fields such as sports, politics, and the arts.
 E257517 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: Bellamy | Statement: [Walt Bellamy, familyName, Bellamy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bellamy
Context triple: [Walt Bellamy, familyName, Bellamy]
  • A. Myles
    Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
  • B. Jono
    Jono is a casual diminutive or nickname commonly used for the given name Jonathan.
  • C. Jayme
    Jayme is a given name, typically a variant spelling of Jamie, used for people of any gender.
  • D. Kaylon
    Kaylon are a highly advanced artificial machine species from the Orville universe, known for their collective intelligence and often adversarial stance toward biological life.
  • E. Maynard
    Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
  • 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: Bellamy
Triple: [Walt Bellamy, familyName, Bellamy]
Generated description
Bellamy is a surname of English and French origin borne by various notable individuals across fields such as sports, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bellamy
Target entity description: Bellamy is a surname of English and French origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • A. Myles
    Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
  • B. Jono
    Jono is a casual diminutive or nickname commonly used for the given name Jonathan.
  • C. Jayme
    Jayme is a given name, typically a variant spelling of Jamie, used for people of any gender.
  • D. Kaylon
    Kaylon are a highly advanced artificial machine species from the Orville universe, known for their collective intelligence and often adversarial stance toward biological life.
  • E. Maynard
    Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6c7cb9481909405aeb503f804ae completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9628059481909c96a7661bc87a73 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae9727a28881909eebc67189dfc856 completed March 9, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ae9795cf048190bc7a01ef86c12138 completed March 9, 2026, 9:49 a.m.
Created at: March 4, 2026, 7:52 p.m.