Triple

T12619820
Position Surface form Disambiguated ID Type / Status
Subject Gary Busey E301349 entity
Predicate child P120 FINISHED
Object Luke Busey
Luke Busey is an American actor and the son of Academy Award–nominated actor Gary Busey.
 E998774 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: Luke Busey | Statement: [Gary Busey, child, Luke Busey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luke Busey
Context triple: [Gary Busey, child, Luke Busey]
  • A. Skeet Ulrich
    Skeet Ulrich is an American actor best known for his roles in films like "Scream" and "The Craft" and the television series "Jericho."
  • B. Dylan Walsh
    Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
  • C. 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.
  • D. Kevin Zegers
    Kevin Zegers is a Canadian actor best known for his early breakout role in the family film "Air Bud" and later appearances in projects like "Transamerica," "Gossip Girl," and "The Mortal Instruments: City of Bones."
  • E. Casper Van Dien
    Casper Van Dien is an American actor best known for his leading role as Johnny Rico in the science fiction film "Starship Troopers."
  • 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: Luke Busey
Triple: [Gary Busey, child, Luke Busey]
Generated description
Luke Busey is an American actor and the son of Academy Award–nominated actor Gary Busey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luke Busey
Target entity description: Luke Busey is an American actor and the son of Academy Award–nominated actor Gary Busey.
  • A. Skeet Ulrich
    Skeet Ulrich is an American actor best known for his roles in films like "Scream" and "The Craft" and the television series "Jericho."
  • B. Dylan Walsh
    Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
  • C. 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.
  • D. Kevin Zegers
    Kevin Zegers is a Canadian actor best known for his early breakout role in the family film "Air Bud" and later appearances in projects like "Transamerica," "Gossip Girl," and "The Mortal Instruments: City of Bones."
  • E. Casper Van Dien
    Casper Van Dien is an American actor best known for his leading role as Johnny Rico in the science fiction film "Starship Troopers."
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c75c9c819092265ebc2b39f21d completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719676d48190bcc9d7ccbde2605e completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6749c2ddc8190945270e6e5b210dd completed May 2, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69f675c42fec8190b60751c0db88f3b6 completed May 2, 2026, 10:08 p.m.
Created at: April 9, 2026, 5:13 p.m.