Triple

T10750493
Position Surface form Disambiguated ID Type / Status
Subject church in Thessalonica E253558 entity
Predicate taughtBy P10345 FINISHED
Object Timothy
Timothy was an early Christian missionary and close companion of the Apostle Paul, known for helping establish and instruct churches in the first-century Mediterranean world.
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: [church in Thessalonica, taughtBy, Timothy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy
Context triple: [church in Thessalonica, taughtBy, Timothy]
  • A. Timothy
    Timothy is a character known primarily as the adversary of Charly Baltimore in the action thriller film "The Long Kiss Goodnight."
  • B. Timothy
    Timothy is the given name of British actor Tim Pigott-Smith, known for his work in film, television, and theatre.
  • C. Timothy
    Timothy is a minor character in Enid Blyton’s adventure novel "Five on a Treasure Island," appearing alongside the Famous Five in their first mystery.
  • D. Timothy
    Timothy is the given first name of former Major League Baseball knuckleball pitcher Tim Wakefield.
  • E. Timothy
    Timothy is the birth name of American actor and comedian Tim Allen, best known for starring in the sitcom "Home Improvement" and voicing Buzz Lightyear in the "Toy Story" films.
  • 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: [church in Thessalonica, taughtBy, Timothy]
Generated description
Timothy was an early Christian missionary and close companion of the Apostle Paul, known for helping establish and instruct churches in the first-century Mediterranean world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Timothy
Target entity description: Timothy was an early Christian missionary and close companion of the Apostle Paul, known for helping establish and instruct churches in the first-century Mediterranean world.
  • A. Timothy chosen
    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.
  • B. Timothy
    Timothy is a masculine given name of biblical origin that has been widely used in English-speaking countries.
  • C. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • D. Timothy
    Timothy is the given first name of English actor and singer Tim Curry, known for his distinctive voice and cult-classic roles.
  • E. Timothy
    Timothy is the given first name of British former professional tennis player Tim Henman, a prominent figure in men's tennis during the late 1990s and early 2000s.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dbfe5f481908eed42328447b158 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84a63de0819085f1e982c8348811 completed April 14, 2026, 6:17 p.m.
NEDg Description generation batch_69de8e6f3fac8190bcd1675978d6d6d7 completed April 14, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69de8fa679cc81909cb51035e5403ce9 completed April 14, 2026, 7:04 p.m.
Created at: April 8, 2026, 9:15 p.m.