Triple

T13519079
Position Surface form Disambiguated ID Type / Status
Subject Miriam Stoppard E322845 entity
Predicate givenName P17 FINISHED
Object Miriam
Miriam is a feminine given name of Hebrew origin, commonly associated with the biblical sister of Moses and Aaron.
 E81192 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: [Miriam Stoppard, givenName, Miriam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miriam
Context triple: [Miriam Stoppard, givenName, Miriam]
  • A. 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.
  • B. 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.
  • 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 member of the underground resistance group known as the Fishes in the dystopian world of "Children of Men."
  • 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: [Miriam Stoppard, givenName, Miriam]
Generated description
Miriam is a feminine given name of Hebrew origin, commonly associated with the biblical sister of Moses and Aaron.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miriam
Target entity description: Miriam is a feminine given name of Hebrew origin, commonly associated with the biblical sister of Moses and Aaron.
  • A. Miriam chosen
    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 member of the underground resistance group known as the Fishes in the dystopian world of "Children of Men."
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa27f048190bed33a98e28c8d09 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75498153c819096a28a7f0b608ff5 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f7565846108190bb6550505af8ac5d completed May 3, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_69f75a2107e081909fd00af67938f2e9 completed May 3, 2026, 2:22 p.m.
Created at: April 9, 2026, 9:44 p.m.