Triple

T1190969
Position Surface form Disambiguated ID Type / Status
Subject William K. Reilly E25357 entity
Predicate familyName P18 FINISHED
Object Reilly
Reilly is a surname most notably associated with William K. Reilly, an American environmentalist and former administrator of the U.S. Environmental Protection Agency.
 E139094 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: Reilly | Statement: [William K. Reilly, familyName, Reilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reilly
Context triple: [William K. Reilly, familyName, Reilly]
  • A. Myles
    Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
  • B. Riley
    Riley is a surname most famously associated with Pat Riley, the legendary NBA coach and executive.
  • C. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • D. Liam
    Liam is a popular masculine given name of Irish origin, commonly understood as a short form of William.
  • E. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • 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: Reilly
Triple: [William K. Reilly, familyName, Reilly]
Generated description
Reilly is a surname most notably associated with William K. Reilly, an American environmentalist and former administrator of the U.S. Environmental Protection Agency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reilly
Target entity description: Reilly is a surname most notably associated with William K. Reilly, an American environmentalist and former administrator of the U.S. Environmental Protection Agency.
  • A. Myles
    Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
  • B. Riley
    Riley is a surname most famously associated with Pat Riley, the legendary NBA coach and executive.
  • C. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • D. Liam
    Liam is a popular masculine given name of Irish origin, commonly understood as a short form of William.
  • E. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd58d8d88190b8d9c9c9de7f4e97 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac83146f2881909e230bc9de28a76b completed March 7, 2026, 7:57 p.m.
NEDg Description generation batch_69ac837e06cc8190b0da34646fa78c0c completed March 7, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_69ac84309acc8190aac6c3c78246b352 completed March 7, 2026, 8:01 p.m.
Created at: March 1, 2026, 7:45 p.m.