Triple

T5316324
Position Surface form Disambiguated ID Type / Status
Subject Tim Berra E119158 entity
Predicate givenName P17 FINISHED
Object Tim
Tim is a common masculine given name, often a shortened form of Timothy, used in many English-speaking countries.
 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: [Tim Berra, givenName, Tim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tim
Context triple: [Tim Berra, givenName, 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 a character known primarily as the adversary of Charly Baltimore in the action thriller film "The Long Kiss Goodnight."
  • D. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • E. 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.
  • 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: [Tim Berra, givenName, Tim]
Generated description
Tim is a common masculine given name, often a shortened form of Timothy, used in many English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tim
Target entity description: Tim is a common masculine given name, often a shortened form of Timothy, used in many English-speaking countries.
  • 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. Timothy
    Timothy is a character known primarily as the adversary of Charly Baltimore in the action thriller film "The Long Kiss Goodnight."
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd854fd07c8190b4f1c3c8e618c308 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf110e89548190a5eb0bad6ab0483b completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf1263876c8190a278f06ad8ac816a completed March 21, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69bf12c123008190a0d3f3c23af59819 completed March 21, 2026, 9:50 p.m.
Created at: March 20, 2026, 1:54 p.m.