Triple

T5550534
Position Surface form Disambiguated ID Type / Status
Subject Matt Bomer E145513 entity
Predicate playedCharacter P1507 FINISHED
Object Tim
Tim is a fictional character portrayed by American actor Matt Bomer.
 E535992 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: [Matt Bomer, playedCharacter, Tim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tim
Context triple: [Matt Bomer, playedCharacter, 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: [Matt Bomer, playedCharacter, Tim]
Generated description
Tim is a fictional character portrayed by American actor Matt Bomer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tim
Target entity description: Tim is a fictional character portrayed by American actor Matt Bomer.
  • 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 character known primarily as the adversary of Charly Baltimore in the action thriller film "The Long Kiss Goodnight."
  • 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

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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe2aef481909944bc582c1f67a4 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cf6d9f48190a3ee3446973c7381 completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e8422dc8190879ee52bd6850565 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f3963888190b1c85b3bb9ff5d44 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:35 p.m.