Triple

T5550532
Position Surface form Disambiguated ID Type / Status
Subject Matt Bomer E145513 entity
Predicate playedCharacter P1507 FINISHED
Object Donald
Donald is a fictional character portrayed by American actor Matt Bomer, likely in a film or television production.
 E527828 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: Donald | Statement: [Matt Bomer, playedCharacter, Donald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Donald
Context triple: [Matt Bomer, playedCharacter, Donald]
  • A. Donald
    Donald is the given name of Don Revie, the renowned English football player and manager best known for his successful tenure at Leeds United.
  • B. Donald
    Donald III of Scotland was a late 11th-century King of Scots who briefly ruled following the death of his brother Malcolm III.
  • C. Donald
    Donald is the surname of Aaron Donald, the dominant American football defensive tackle widely regarded as one of the greatest defensive players in NFL history.
  • D. Donald
    Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
  • E. Don
    Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • 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: Donald
Triple: [Matt Bomer, playedCharacter, Donald]
Generated description
Donald is a fictional character portrayed by American actor Matt Bomer, likely in a film or television production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Donald
Target entity description: Donald is a fictional character portrayed by American actor Matt Bomer, likely in a film or television production.
  • A. Donald
    Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
  • B. Donald
    Donald is the given name of Don Revie, the renowned English football player and manager best known for his successful tenure at Leeds United.
  • C. Donald
    Donald III of Scotland was a late 11th-century King of Scots who briefly ruled following the death of his brother Malcolm III.
  • D. Donald
    Donald is the surname of Aaron Donald, the dominant American football defensive tackle widely regarded as one of the greatest defensive players in NFL history.
  • E. Don
    The Don is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov, historically serving as an important trade route and cultural boundary.
  • 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_69c0283101dc8190a52ef2edbb523e78 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c033e0043881908c9fca5138398188 completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c034664c808190b382f7aad0e3149a completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:35 p.m.