Triple

T15358164
Position Surface form Disambiguated ID Type / Status
Subject Olivia Munn E367216 entity
Predicate familyName P18 FINISHED
Object Munn
Munn is the surname of American actress and television personality Olivia Munn, known for her roles in film, television, and as a former correspondent on The Daily Show.
E1153496 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: Munn | Statement: [Olivia Munn, familyName, Munn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munn
Context triple: [Olivia Munn, familyName, Munn]
  • A. Munn
    Munn was a grain warehouse owner whose business practices were at the center of the landmark U.S. Supreme Court case Munn v. Illinois, which addressed state regulation of private industry.
  • B. Munnik
    Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
  • C. Munnings
    Munnings is a prominent American Thoroughbred racehorse and successful sire known for his speed and influence in modern bloodlines.
  • D. Munnings
    Munnings is the surname of Alfred Munnings, a renowned English painter celebrated for his depictions of horses and rural life.
  • E. Motunui
    Motunui is the fictional Polynesian island homeland of Moana in Disney's animated film "Moana."
  • 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: Munn
Triple: [Olivia Munn, familyName, Munn]
Generated description
Munn is the surname of American actress and television personality Olivia Munn, known for her roles in film, television, and as a former correspondent on The Daily Show.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Munn
Target entity description: Munn is the surname of American actress and television personality Olivia Munn, known for her roles in film, television, and as a former correspondent on The Daily Show.
  • A. Munn
    Munn was a grain warehouse owner whose business practices were at the center of the landmark U.S. Supreme Court case Munn v. Illinois, which addressed state regulation of private industry.
  • B. Munnik
    Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
  • C. Munnings
    Munnings is a prominent American Thoroughbred racehorse and successful sire known for his speed and influence in modern bloodlines.
  • D. Munnings
    Munnings is the surname of Alfred Munnings, a renowned English painter celebrated for his depictions of horses and rural life.
  • E. Motunui
    Motunui is the fictional Polynesian island homeland of Moana in Disney's animated film "Moana."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2d4934819097fc63603964217c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b45e3048190a7fa62ead6916fed completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0f400ec08190961c63f957efe107 completed May 9, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_69ff0fbef36081908a0f6317a32f9c28 completed May 9, 2026, 10:43 a.m.
Created at: April 10, 2026, 3:18 a.m.