Triple

T4741250
Position Surface form Disambiguated ID Type / Status
Subject Caleb Murray E105245 entity
Predicate hasRelative P367 FINISHED
Object Ed Murray
Ed Murray is an American politician best known for serving as the mayor of Seattle, Washington.
 E57796 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: Ed Murray | Statement: [Caleb Murray, hasRelative, Ed Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ed Murray
Context triple: [Caleb Murray, hasRelative, Ed Murray]
  • A. Ed Murray
    Ed Murray is an American politician who served as the 53rd mayor of Seattle and previously spent many years in the Washington State Legislature.
  • B. Bob Ferguson
    Bob Ferguson was an American country music record producer known for his influential work with major artists in the 1960s and 1970s.
  • C. Kwame Kilpatrick
    Kwame Kilpatrick is a former mayor of Detroit who became widely known for his corruption scandal, criminal convictions, and subsequent imprisonment.
  • D. Mark Helfrich
    Mark Helfrich is an American football coach best known for leading the University of Oregon Ducks, including a run to the first College Football Playoff National Championship game in the 2014 season.
  • E. Mark Helfrich
    Mark Helfrich is an American film editor best known for his work on action and comedy films, including collaborations with director Brett Ratner.
  • 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: Ed Murray
Triple: [Caleb Murray, hasRelative, Ed Murray]
Generated description
Ed Murray is an American politician best known for serving as the mayor of Seattle, Washington.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ed Murray
Target entity description: Ed Murray is an American politician best known for serving as the mayor of Seattle, Washington.
  • A. Ed Murray chosen
    Ed Murray is an American politician who served as the 53rd mayor of Seattle and previously spent many years in the Washington State Legislature.
  • B. Bob Ferguson
    Bob Ferguson was an American country music record producer known for his influential work with major artists in the 1960s and 1970s.
  • C. Kwame Kilpatrick
    Kwame Kilpatrick is a former mayor of Detroit who became widely known for his corruption scandal, criminal convictions, and subsequent imprisonment.
  • D. Mark Helfrich
    Mark Helfrich is an American football coach best known for leading the University of Oregon Ducks, including a run to the first College Football Playoff National Championship game in the 2014 season.
  • E. Mark Helfrich
    Mark Helfrich is an American film editor best known for his work on action and comedy films, including collaborations with director Brett Ratner.
  • F. None of above.

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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a5f3548190a6acf1dcfd64d11d completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a28ca648190a44d178826926812 completed March 21, 2026, 6:26 a.m.
NEDg Description generation batch_69be3c443c6881908d1a3de22ff1380b completed March 21, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_69be3d0aa1d48190a2af91d251cb5561 completed March 21, 2026, 6:39 a.m.
Created at: March 20, 2026, 1:19 p.m.