Triple

T544427
Position Surface form Disambiguated ID Type / Status
Subject Eddie Murphy E12700 entity
Predicate familyName P18 FINISHED
Object Murphy
Murphy is a common Irish-origin surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
 E67931 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: Murphy | Statement: [Eddie Murphy, familyName, Murphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Murphy
Context triple: [Eddie Murphy, familyName, Murphy]
  • A. Melvin
    Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
  • B. Curtis
    Curtis is a common English surname of Norman origin, historically meaning "courteous" or "polite."
  • C. Monty
    Monty is the nickname of British Field Marshal Bernard Law Montgomery, a prominent World War II commander best known for his leadership in the North African and European campaigns.
  • D. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • E. Marty
    Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
  • 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: Murphy
Triple: [Eddie Murphy, familyName, Murphy]
Generated description
Murphy is a common Irish-origin surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Murphy
Target entity description: Murphy is a common Irish-origin surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
  • A. Melvin
    Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
  • B. Curtis
    Curtis is a common English surname of Norman origin, historically meaning "courteous" or "polite."
  • C. Monty
    Monty is the nickname of British Field Marshal Bernard Law Montgomery, a prominent World War II commander best known for his leadership in the North African and European campaigns.
  • D. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • E. Marty
    Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498dea88881908a938fe8f2313bec completed March 1, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5f6dfc8190a6c97a81aa8e82a3 completed March 1, 2026, 11:31 p.m.
NEDg Description generation batch_69a4cdd043b881908795f61cbfa06bc8 completed March 1, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69a4cf2e7b908190817cfcaf0490d6f7 completed March 1, 2026, 11:43 p.m.
Created at: March 1, 2026, 7:32 p.m.