Triple

T1809244
Position Surface form Disambiguated ID Type / Status
Subject King Baby E40291 entity
Predicate director P255 FINISHED
Object Troy Miller
Troy Miller is an American film and television director and producer known for his work in comedy specials, series, and feature films.
E216469 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: Troy Miller | Statement: [King Baby, director, Troy Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troy Miller
Context triple: [King Baby, director, Troy Miller]
  • A. Trent Stevens
    Trent Stevens is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Stevens.
  • B. Sean Kilpatrick
    Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
  • C. Dustin O’Halloran
    Dustin O’Halloran is an American pianist and composer known for his emotive solo piano works and acclaimed film and television scores.
  • D. Dylan Highsmith
    Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
  • E. Nathan Maloney
    Nathan Maloney is a central teenage character in the British TV drama "Queer as Folk," known for exploring his sexuality and identity within Manchester’s gay scene.
  • 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: Troy Miller
Triple: [King Baby, director, Troy Miller]
Generated description
Troy Miller is an American film and television director and producer known for his work in comedy specials, series, and feature films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Troy Miller
Target entity description: Troy Miller is an American film and television director and producer known for his work in comedy specials, series, and feature films.
  • A. Trent Stevens
    Trent Stevens is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Stevens.
  • B. Sean Kilpatrick
    Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
  • C. Drew Hansen
    Drew Hansen is an American lawyer, author, and Democratic politician who has served in the Washington State Legislature.
  • D. Dustin O’Halloran
    Dustin O’Halloran is an American pianist and composer known for his emotive solo piano works and acclaimed film and television scores.
  • E. Dylan Highsmith
    Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c310d88190bfd9c27fa238e648 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c192f08190a1a134e541be1103 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf5b31274819086c266c1a8ba2cd8 completed March 8, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69adf6108c988190b992de20cf287da7 completed March 8, 2026, 10:20 p.m.
Created at: March 4, 2026, 7:32 p.m.