Triple

T14840991
Position Surface form Disambiguated ID Type / Status
Subject Christopher Ruddy E348962 entity
Predicate familyName P18 FINISHED
Object Ruddy
Ruddy is a surname of Irish origin borne by various notable individuals across fields such as media, sports, and politics.
 E1121935 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: Ruddy | Statement: [Christopher Ruddy, familyName, Ruddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruddy
Context triple: [Christopher Ruddy, familyName, Ruddy]
  • A. Rudow
    Rudow is a district in the southeastern part of Berlin, Germany, known for its residential character and connection to the city's U-Bahn network.
  • B. Rood
    Rood is a surname most notably associated with Ogden Rood, an American physicist and color theorist known for his influential work on color science.
  • C. Rood-witten
    Rood-witten is a popular nickname for PSV Eindhoven, referring to the club’s traditional red-and-white team colors.
  • D. Reddish
    Reddish is a suburban area and former industrial village in the Metropolitan Borough of Stockport, Greater Manchester, England.
  • E. Rosse
    Rosse is an alternative spelling or variant form of the name Ross, which is used as both a given name and a surname.
  • 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: Ruddy
Triple: [Christopher Ruddy, familyName, Ruddy]
Generated description
Ruddy is a surname of Irish origin borne by various notable individuals across fields such as media, sports, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruddy
Target entity description: Ruddy is a surname of Irish origin borne by various notable individuals across fields such as media, sports, and politics.
  • A. Rudow
    Rudow is a district in the southeastern part of Berlin, Germany, known for its residential character and connection to the city's U-Bahn network.
  • B. Rood
    Rood is a surname most notably associated with Ogden Rood, an American physicist and color theorist known for his influential work on color science.
  • C. Rood-witten
    Rood-witten is a popular nickname for PSV Eindhoven, referring to the club’s traditional red-and-white team colors.
  • D. Reddish
    Reddish is a suburban area and former industrial village in the Metropolitan Borough of Stockport, Greater Manchester, England.
  • E. Rosse
    Rosse is an alternative spelling or variant form of the name Ross, which is used as both a given name and a surname.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a9eb9481908ca509f484007cf6 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3d0eca948190b107bc593b6e5b72 completed May 8, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_69fe3d94785881908911a7c6f1546d45 completed May 8, 2026, 7:46 p.m.
Created at: April 10, 2026, 1:53 a.m.