Triple

T2167291
Position Surface form Disambiguated ID Type / Status
Subject Emma Caroline Bootle-Wilbraham E46938 entity
Predicate givenName P17 FINISHED
Object Caroline
Caroline is a feminine given name of French and Latin origin, commonly used in English-speaking and European countries.
 E239135 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: Caroline | Statement: [Emma Caroline Bootle-Wilbraham, givenName, Caroline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caroline
Context triple: [Emma Caroline Bootle-Wilbraham, givenName, Caroline]
  • A. Caroline
    Caroline of Ansbach was an 18th-century Queen consort of Great Britain and Ireland as the wife of King George II, noted for her political influence and patronage of the arts and sciences.
  • B. Caroline
    Caroline was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
  • C. Caroline
    Caroline is a rural town in Tompkins County, New York, known for its small communities, scenic landscapes, and proximity to the city of Ithaca.
  • D. Caroline
    Caroline von Humboldt was a German salonnière, art patron, and intellectual known for her influential role in Berlin’s cultural and scholarly life in the early 19th century.
  • E. Celia
    Celia is the central character in the 1991 psychological drama film "Proof," around whom the story’s emotional and relational tensions revolve.
  • 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: Caroline
Triple: [Emma Caroline Bootle-Wilbraham, givenName, Caroline]
Generated description
Caroline is a feminine given name of French and Latin origin, commonly used in English-speaking and European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caroline
Target entity description: Caroline is a feminine given name of French and Latin origin, commonly used in English-speaking and European countries.
  • A. Caroline
    Caroline von Humboldt was a German salonnière, art patron, and intellectual known for her influential role in Berlin’s cultural and scholarly life in the early 19th century.
  • B. Caroline
    Caroline is a rural town in Tompkins County, New York, known for its small communities, scenic landscapes, and proximity to the city of Ithaca.
  • C. Caroline
    Caroline of Ansbach was an 18th-century Queen consort of Great Britain and Ireland as the wife of King George II, noted for her political influence and patronage of the arts and sciences.
  • D. Caroline
    Caroline was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
  • E. Celia
    Celia is the central character in the 1991 psychological drama film "Proof," around whom the story’s emotional and relational tensions revolve.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeac9d688190bfa68715e173771e completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f044b8819092c58022383d3468 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5972d3d4819082f8896f12126422 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a12f11c81908cc345905f0a485e completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:45 p.m.