Triple

T14190159
Position Surface form Disambiguated ID Type / Status
Subject Saint Paul E351690 entity
Predicate collaboratedWith P435 FINISHED
Object Timothy
Timothy is a prominent early Christian figure and close companion of the Apostle Paul, traditionally regarded as a young church leader and recipient of the New Testament letters 1 and 2 Timothy.
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: [Saint Paul, collaboratedWith, Timothy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy
Context triple: [Saint Paul, collaboratedWith, 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. 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 a 1970s pop-rock song by The Buoys, best known for its controversial lyrics that imply cannibalism among trapped miners.
  • E. Timothy
    Timothy is the given first name of American film director and producer Tim Story, known for movies like "Barbershop" and the "Fantastic Four" 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: [Saint Paul, collaboratedWith, Timothy]
Generated description
Timothy is a prominent early Christian figure and close companion of the Apostle Paul, traditionally regarded as a young church leader and recipient of the New Testament letters 1 and 2 Timothy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Timothy
Target entity description: Timothy is a prominent early Christian figure and close companion of the Apostle Paul, traditionally regarded as a young church leader and recipient of the New Testament letters 1 and 2 Timothy.
  • 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 former professional basketball player and current sports analyst Tim Legler.
  • D. 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.
  • E. Timothy
    Timothy is the Christian baptismal name of Moon Jae-in, the former President of South Korea.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61df628c8190ba3f557e2128dce5 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194543f081909cb11cf0881afa90 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1b2ace9c8190a7458e5c43a3c3d6 completed May 7, 2026, 11:07 p.m.
NED2 Entity disambiguation (via description) batch_69fd1c61b994819081dcc92ae33772ed completed May 7, 2026, 11:12 p.m.
Created at: April 10, 2026, 1:03 a.m.