Triple

T10940410
Position Surface form Disambiguated ID Type / Status
Subject Shirley Marlin Noznisky E258453 entity
Predicate hasGivenName P17 FINISHED
Object Shirley
Shirley is a feminine given name of English origin that became especially popular in the 20th century.
 E20376 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: Shirley | Statement: [Shirley Marlin Noznisky, hasGivenName, Shirley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shirley
Context triple: [Shirley Marlin Noznisky, hasGivenName, Shirley]
  • A. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • B. Shirley
    Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
  • C. Shirley
    "Shirley" is a social and political novel by Charlotte Brontë set during the industrial unrest of early 19th-century England, exploring themes of class conflict, gender roles, and economic hardship.
  • D. Shirley
    Shirley is a suburban area in the London Borough of Croydon, known for its residential neighborhoods and proximity to green spaces and nearby districts like West Wickham.
  • E. Shirley
    Shirley is a suburban area within the town of Solihull in the West Midlands, England, known for its residential neighborhoods and local shopping facilities.
  • 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: Shirley
Triple: [Shirley Marlin Noznisky, hasGivenName, Shirley]
Generated description
Shirley is a feminine given name of English origin that became especially popular in the 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shirley
Target entity description: Shirley is a feminine given name of English origin that became especially popular in the 20th century.
  • A. Shirley chosen
    Shirley is an English surname of Old English origin that has also become a common given name.
  • B. Shirley
    Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
  • C. Shirley
    Shirley is a suburban area within the town of Solihull in the West Midlands, England, known for its residential neighborhoods and local shopping facilities.
  • D. Shirley
    "Shirley" is a rock and roll song by Welsh singer Shakin' Stevens, known as one of his early hits.
  • E. Shirley
    Shirley is a suburban area in the London Borough of Croydon, known for its residential neighborhoods and proximity to green spaces and nearby districts like West Wickham.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c2821c8190a7b08276c4bfbf33 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c0e940081908c84ea4cf3b877fc completed April 17, 2026, 1:56 p.m.
NEDg Description generation batch_69e24541cbb481908f14a9cb2787c118 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f48dc88190af9491e8cdc4a532 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.