Triple

T17035197
Position Surface form Disambiguated ID Type / Status
Subject Patience E413301 entity
Predicate isSemanticallyRelatedTo P12753 FINISHED
Object Charity (given name)
Charity is a feminine given name derived from the English word for benevolence and generosity, historically associated with the Christian virtue of charitable love.
 E1245787 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: Charity (given name) | Statement: [Patience, isSemanticallyRelatedTo, Charity (given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charity (given name)
Context triple: [Patience, isSemanticallyRelatedTo, Charity (given name)]
  • A. Charity Credle
    Charity Credle was the wife of Caleb Bradham, the American pharmacist best known for inventing Pepsi-Cola.
  • B. CHARIS
    CHARIS is a high-contrast near-infrared integral field spectrograph used on the Subaru Telescope to directly image and study exoplanets and faint astronomical objects near bright stars.
  • C. Morgan (given name)
    Morgan is a unisex given name of Welsh origin, commonly used in English-speaking countries.
  • D. Charlaine
    Charlaine is the given first name of C. Vivian Stringer, a prominent American women's college basketball coach.
  • E. Min (given name)
    Min is a Chinese given name used by people of any gender and found across various Chinese-speaking regions.
  • 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: Charity (given name)
Triple: [Patience, isSemanticallyRelatedTo, Charity (given name)]
Generated description
Charity is a feminine given name derived from the English word for benevolence and generosity, historically associated with the Christian virtue of charitable love.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charity (given name)
Target entity description: Charity is a feminine given name derived from the English word for benevolence and generosity, historically associated with the Christian virtue of charitable love.
  • A. Charity Credle
    Charity Credle was the wife of Caleb Bradham, the American pharmacist best known for inventing Pepsi-Cola.
  • B. CHARIS
    CHARIS is a high-contrast near-infrared integral field spectrograph used on the Subaru Telescope to directly image and study exoplanets and faint astronomical objects near bright stars.
  • C. Morgan (given name)
    Morgan is a unisex given name of Welsh origin, commonly used in English-speaking countries.
  • D. Charlaine
    Charlaine is the given first name of C. Vivian Stringer, a prominent American women's college basketball coach.
  • E. Min (given name)
    Min is a Chinese given name used by people of any gender and found across various Chinese-speaking regions.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f05824819091d2aa02e5591e26 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b59ad3c8190914ee6f8c903cbbf completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011c13076c8190970abfb0e2d3a13c completed May 11, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a011c8afb608190b51c7a4c9ccaa0a5 completed May 11, 2026, 12:02 a.m.
Created at: April 10, 2026, 5:33 a.m.