Triple

T19741613
Position Surface form Disambiguated ID Type / Status
Subject Mimi Rogers E474135 entity
Predicate givenName P17 FINISHED
Object Miriam
Miriam is the birth name of American actress and former professional poker player Mimi Rogers.
E1393018 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: Miriam | Statement: [Mimi Rogers, givenName, Miriam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miriam
Context triple: [Mimi Rogers, givenName, Miriam]
  • A. Miriam
    Miriam is a prominent biblical figure known as the sister of Moses and Aaron and as a prophetess during the Exodus of the Israelites from Egypt.
  • B. Miriam
    Miriam is a central fictional character in Nathaniel Hawthorne’s novel "The Marble Faun," portrayed as a mysterious and artistically gifted woman with a troubled past.
  • C. Miriam
    Miriam is a fictional character from the British dark comedy television series "The Life and Times of Vivienne Vyle."
  • D. Miriam
    Miriam is the birth name of American country music singer and songwriter Jessi Colter.
  • E. Miriam
    Miriam is a key supporting character in Lew Wallace's novel "Ben-Hur: A Tale of the Christ," serving as Judah Ben-Hur's mother and a central figure in his personal trials and motivations.
  • 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: Miriam
Triple: [Mimi Rogers, givenName, Miriam]
Generated description
Miriam is the birth name of American actress and former professional poker player Mimi Rogers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miriam
Target entity description: Miriam is the birth name of American actress and former professional poker player Mimi Rogers.
  • A. Miriam
    Miriam is the birth name of American film and television director Mimi Leder, known for her work on projects like "Deep Impact" and "The Leftovers."
  • B. Miriam
    Miriam is the birth name of American country music singer and songwriter Jessi Colter.
  • C. Miriam
    Miriam is a prominent biblical figure known as the sister of Moses and Aaron and as a prophetess during the Exodus of the Israelites from Egypt.
  • D. Miriam
    Miriam is the given first name of Princess Likelike, a Hawaiian royal figure of the 19th century.
  • E. Miriam
    Miriam "Midge" Maisel is the quick-witted 1950s New York housewife-turned-stand-up-comedian who stars as the protagonist of the television series "The Marvelous Mrs. Maisel."
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65162382081909bd5a251d7da7f75 completed April 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4fd89488190a1d3b7e43f37e46f completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b5a83f708190a317715bc650491b completed May 16, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_6a07b67964b481909af269c6b5db6527 completed May 16, 2026, 12:12 a.m.
Created at: April 10, 2026, 1:47 p.m.