Triple

T2143510
Position Surface form Disambiguated ID Type / Status
Subject Catherine of Siena E47011 entity
Predicate notableWork P4 FINISHED
Object Letters
Letters is a collection of spiritual and political correspondence by the 14th-century mystic and Doctor of the Church, Catherine of Siena.
 E236888 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: Letters | Statement: [Catherine of Siena, notableWork, Letters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Letters
Context triple: [Catherine of Siena, notableWork, Letters]
  • A. Letters
    "Letters" is a collection of epistles by St. Jerome, renowned for their theological insight, biblical scholarship, and influence on early Christian thought and monastic practice.
  • B. Makatib
    Makatib is a collection of letters by the Persian Sufi poet Rumi, offering spiritual guidance, personal counsel, and insights into his mystical thought and relationships.
  • C. Epistolae
    Epistolae is a collection of letters by Anselm of Canterbury that offers insight into his theological thought, spiritual guidance, and ecclesiastical affairs.
  • D. Messages
    Messages is Apple’s built-in messaging app for iOS, iPadOS, and macOS that supports SMS, MMS, and iMessage communication across Apple devices.
  • E. Mail
    Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
  • 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: Letters
Triple: [Catherine of Siena, notableWork, Letters]
Generated description
Letters is a collection of spiritual and political correspondence by the 14th-century mystic and Doctor of the Church, Catherine of Siena.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Letters
Target entity description: Letters is a collection of spiritual and political correspondence by the 14th-century mystic and Doctor of the Church, Catherine of Siena.
  • A. Letters
    "Letters" is a collection of epistles by St. Jerome, renowned for their theological insight, biblical scholarship, and influence on early Christian thought and monastic practice.
  • B. Makatib
    Makatib is a collection of letters by the Persian Sufi poet Rumi, offering spiritual guidance, personal counsel, and insights into his mystical thought and relationships.
  • C. Epistolae
    Epistolae is a collection of letters by Anselm of Canterbury that offers insight into his theological thought, spiritual guidance, and ecclesiastical affairs.
  • D. Messages
    Messages is Apple’s built-in messaging app for iOS, iPadOS, and macOS that supports SMS, MMS, and iMessage communication across Apple devices.
  • E. Mail
    Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe206db0819095772af5358dca55 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b8152c81908c66d389bf14dc7e completed March 9, 2026, 4:51 a.m.
NEDg Description generation batch_69ae522f0394819087a7e7d9c6ca354c completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae5316acf881908dde9d83c36c8fd0 completed March 9, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:44 p.m.