Triple

T22080625
Position Surface form Disambiguated ID Type / Status
Subject Anne Shirley E545638 entity
Predicate hasSurname P18 FINISHED
Object Shirley
Shirley is a surname most famously associated with Anne Shirley, the imaginative heroine of L. M. Montgomery’s "Anne of Green Gables" series.
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: [Anne Shirley, hasSurname, Shirley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shirley
Context triple: [Anne Shirley, hasSurname, Shirley]
  • A. Shirley
    Shirley is a residential and commercial district within the city of Southampton in Hampshire, England.
  • 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 devout, long-suffering matriarch in Tyler Perry’s "Madea’s Big Happy Family," whose illness and desire to reunite her fractured family drive much of the film’s emotional core.
  • 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: [Anne Shirley, hasSurname, Shirley]
Generated description
Shirley is a surname most famously associated with Anne Shirley, the imaginative heroine of L. M. Montgomery’s "Anne of Green Gables" series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shirley
Target entity description: Shirley is a surname most famously associated with Anne Shirley, the imaginative heroine of L. M. Montgomery’s "Anne of Green Gables" series.
  • 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 first name of the American actress Shelley Winters, a prominent figure in mid-20th-century cinema.
  • C. Shirley
    Shirley is the given first name of the English actress Amanda Barrie, known for her roles in British film and television.
  • D. Shirley
    Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
  • E. Shirley
    Shirley is one of Count Olaf’s many disguises in Lemony Snicket’s "A Series of Unfortunate Events," used as part of his schemes against the Baudelaire orphans.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b6338481908e6bb0187cdd42af completed April 28, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80bb65fc8190a224994ef7ab50d1 completed May 18, 2026, 3 a.m.
NEDg Description generation batch_6a0a81c335e08190ae941d7ebce6688e completed May 18, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0a828694988190bf07e1b649a109f3 completed May 18, 2026, 3:07 a.m.
Created at: April 16, 2026, 8:28 p.m.