Triple

T1578799
Position Surface form Disambiguated ID Type / Status
Subject Timotheus E33714 entity
Predicate hasShortForm P43 FINISHED
Object Tim
Tim is a common masculine given name, typically used as a short form of Timothy or Timotheus.
 E68623 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: Tim | Statement: [Timotheus, hasShortForm, Tim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tim
Context triple: [Timotheus, hasShortForm, Tim]
  • A. Tim
    Tim is the given name of Tim Wu, a prominent legal scholar and policy advocate known for coining the term "net neutrality."
  • B. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • 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 a prominent early Christian companion and protégé of the Apostle Paul, known from the New Testament for his missionary work and pastoral leadership.
  • E. Tyler
    Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
  • 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: Tim
Triple: [Timotheus, hasShortForm, Tim]
Generated description
Tim is a common masculine given name, typically used as a short form of Timothy or Timotheus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tim
Target entity description: Tim is a common masculine given name, typically used as a short form of Timothy or Timotheus.
  • A. Tim chosen
    Tim is the given name of Tim Wu, a prominent legal scholar and policy advocate known for coining the term "net neutrality."
  • B. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • 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 a prominent early Christian companion and protégé of the Apostle Paul, known from the New Testament for his missionary work and pastoral leadership.
  • E. Tyler
    Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908d67bd08190afa8c504ed5273ee completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4696c34c8190826bc6ab4dad7c01 completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad4861ffc48190bf77fc8036923e38 completed March 8, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_69ad48b05a2881909459504f8fa0ec0c completed March 8, 2026, 10 a.m.
Created at: March 4, 2026, 7:27 p.m.