Triple

T7339896
Position Surface form Disambiguated ID Type / Status
Subject Muriel Bowser E169220 entity
Predicate givenName P17 FINISHED
Object Muriel
Muriel is a feminine given name of French origin that has been borne by various notable figures, including politicians, writers, and artists.
 E656733 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: Muriel | Statement: [Muriel Bowser, givenName, Muriel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muriel
Context triple: [Muriel Bowser, givenName, Muriel]
  • A. Maud
    Maud is a feminine given name of Germanic origin, historically borne by European royalty and nobility.
  • B. Maud
    Maud was a Norwegian polar exploration ship used by Roald Amundsen during his Arctic expeditions in the early 20th century.
  • C. Maud
    Maud is a small village in Aberdeenshire, Scotland, known historically as a rural railway junction and agricultural center.
  • D. Djuna
    Djuna is a distinctive given name most famously associated with the modernist writer and artist Djuna Barnes.
  • E. Delphine
    Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
  • 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: Muriel
Triple: [Muriel Bowser, givenName, Muriel]
Generated description
Muriel is a feminine given name of French origin that has been borne by various notable figures, including politicians, writers, and artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muriel
Target entity description: Muriel is a feminine given name of French origin that has been borne by various notable figures, including politicians, writers, and artists.
  • A. Maud
    Maud is a feminine given name of Germanic origin, historically borne by European royalty and nobility.
  • B. Maud
    Maud was a Norwegian polar exploration ship used by Roald Amundsen during his Arctic expeditions in the early 20th century.
  • C. Maud
    Maud is a small village in Aberdeenshire, Scotland, known historically as a rural railway junction and agricultural center.
  • D. Djuna
    Djuna is a distinctive given name most famously associated with the modernist writer and artist Djuna Barnes.
  • E. Delphine
    Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0d89cd481908c8c2dbcb034b111 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef266fd0819096cf3ece3fff6b90 completed March 28, 2026, 3:09 p.m.
NEDg Description generation batch_69c7efa4f5148190842f30988cbea94c completed March 28, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69c7f0092bac819080ded1863f99290a completed March 28, 2026, 3:13 p.m.
Created at: March 27, 2026, 3:04 p.m.