Triple

T207487
Position Surface form Disambiguated ID Type / Status
Subject Acts of the Apostles E4639 entity
Predicate featuresCharacter P626 FINISHED
Object Timothy
Timothy is a prominent early Christian companion and protégé of the Apostle Paul, known from the New Testament for his missionary work and pastoral leadership.
 E34681 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: Timothy | Statement: [Acts of the Apostles, featuresCharacter, Timothy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Timothy
Context triple: [Acts of the Apostles, featuresCharacter, Timothy]
  • A. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • B. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • C. Colin
    Colin is a masculine given name of Irish and Scottish origin, commonly used in English-speaking countries.
  • D. Samuel
    Samuel is a masculine given name of Hebrew origin meaning "name of God" or "God has heard," widely used across many cultures and languages.
  • E. Samuel
    Samuel is the birth name of the famed American author Mark Twain, known for classics like "The Adventures of Tom Sawyer" and "Adventures of Huckleberry Finn."
  • 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: Timothy
Triple: [Acts of the Apostles, featuresCharacter, Timothy]
Generated description
Timothy is a prominent early Christian companion and protégé of the Apostle Paul, known from the New Testament for his missionary work and pastoral leadership.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Timothy
Target entity description: Timothy is a prominent early Christian companion and protégé of the Apostle Paul, known from the New Testament for his missionary work and pastoral leadership.
  • A. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • B. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • C. Colin
    Colin is a masculine given name of Irish and Scottish origin, commonly used in English-speaking countries.
  • D. Samuel
    Samuel is the birth name of the famed American author Mark Twain, known for classics like "The Adventures of Tom Sawyer" and "Adventures of Huckleberry Finn."
  • E. Samuel
    Samuel is a masculine given name of Hebrew origin meaning "name of God" or "God has heard," widely used across many cultures and languages.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c071fac81908f706d1384281182 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a389a9bb7c81909b60569e4c6074fb completed March 1, 2026, 12:34 a.m.
NEDg Description generation batch_69a38a53a07881908a1e1a0773680044 completed March 1, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69a38acac1ec81909578321bb8b0bfd2 completed March 1, 2026, 12:39 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.