Triple

T1748398
Position Surface form Disambiguated ID Type / Status
Subject Luther E38385 entity
Predicate castMember P1668 FINISHED
Object Michael Smiley
Michael Smiley is a Northern Irish actor and comedian known for his character roles in British television and film, including notable appearances in series like Luther and Black Books.
 E204333 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: Michael Smiley | Statement: [Luther, castMember, Michael Smiley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Smiley
Context triple: [Luther, castMember, Michael Smiley]
  • A. Phil Smith
    Phil Smith was an American professional basketball player best known as a two-time NBA All-Star guard and key contributor to the Golden State Warriors’ 1975 championship team.
  • B. Charlie Smith
    Charlie Smith is a fictional protagonist featured as the central character in a narrative work.
  • C. Luke Murray
    Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
  • D. James Dodd
    James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
  • E. Jack Smith
    Jack Smith is a person known primarily as a relative of Stan Smith, though no widely recognized public information specifically distinguishes him.
  • 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: Michael Smiley
Triple: [Luther, castMember, Michael Smiley]
Generated description
Michael Smiley is a Northern Irish actor and comedian known for his character roles in British television and film, including notable appearances in series like Luther and Black Books.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Smiley
Target entity description: Michael Smiley is a Northern Irish actor and comedian known for his character roles in British television and film, including notable appearances in series like Luther and Black Books.
  • A. Phil Smith
    Phil Smith was an American professional basketball player best known as a two-time NBA All-Star guard and key contributor to the Golden State Warriors’ 1975 championship team.
  • B. Charlie Smith
    Charlie Smith is a fictional protagonist featured as the central character in a narrative work.
  • C. Luke Murray
    Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
  • D. James Dodd
    James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
  • E. Jack Smith
    Jack Smith is a person known primarily as a relative of Stan Smith, though no widely recognized public information specifically distinguishes him.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ee4d2081909dfd6d3244228c56 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf4ba8fc81909b538168a4403330 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc2b4d8a0819080ff41cf73417276 completed March 8, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69adc38732d8819092e0ac76354f08c1 completed March 8, 2026, 6:44 p.m.
Created at: March 4, 2026, 7:31 p.m.