Triple

T3329950
Position Surface form Disambiguated ID Type / Status
Subject Kinney E70008 entity
Predicate hasNotableBearer P458 FINISHED
Object Troy Kinney
Troy Kinney was an American etcher, illustrator, and author known for his detailed prints and artworks, particularly those depicting dance and theatrical subjects.
 E359213 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 Kinney | Statement: [Kinney, hasNotableBearer, Troy Kinney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Troy Kinney
Context triple: [Kinney, hasNotableBearer, Troy Kinney]
  • A. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • B. Troy Taylor
    Troy Taylor is an American R&B record producer and songwriter known for his work with artists such as Trey Songz and Whitney Houston.
  • C. Troy Miller
    Troy Miller is an American film and television director and producer known for his work in comedy specials, series, and feature films.
  • D. Ethan Embry
    Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television series.
  • E. Shane Hurlbut
    Shane Hurlbut is an American cinematographer known for his work on major Hollywood films and his influential role in advancing digital cinematography techniques.
  • 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 Kinney
Triple: [Kinney, hasNotableBearer, Troy Kinney]
Generated description
Troy Kinney was an American etcher, illustrator, and author known for his detailed prints and artworks, particularly those depicting dance and theatrical subjects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Troy Kinney
Target entity description: Troy Kinney was an American etcher, illustrator, and author known for his detailed prints and artworks, particularly those depicting dance and theatrical subjects.
  • A. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • B. Troy Taylor
    Troy Taylor is an American R&B record producer and songwriter known for his work with artists such as Trey Songz and Whitney Houston.
  • C. Troy Miller
    Troy Miller is an American film and television director and producer known for his work in comedy specials, series, and feature films.
  • D. Ethan Embry
    Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television series.
  • E. Shane Hurlbut
    Shane Hurlbut is an American cinematographer known for his work on major Hollywood films and his influential role in advancing digital cinematography techniques.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb171ee0881908642504ab0ac8329 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3609bd0d48190838df7dd7cbca159 completed March 13, 2026, 12:55 a.m.
NEDg Description generation batch_69b3627bb1e48190a51b3bafccefa03e completed March 13, 2026, 1:03 a.m.
NED2 Entity disambiguation (via description) batch_69b362ceeab481909c92fb885f477d3c completed March 13, 2026, 1:05 a.m.
Created at: March 8, 2026, 3:12 p.m.