Triple

T10078287
Position Surface form Disambiguated ID Type / Status
Subject Byron Bowers E213829 entity
Predicate notableWork P4 FINISHED
Object Ten Minutes
Ten Minutes is a stand-up comedy special by comedian Byron Bowers.
 E838467 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: Ten Minutes | Statement: [Byron Bowers, notableWork, Ten Minutes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ten Minutes
Context triple: [Byron Bowers, notableWork, Ten Minutes]
  • A. 10 Minutes
    "10 Minutes" is a short film directed by Satie Gossett that explores themes of race, justice, and the life-altering impact of a brief encounter with law enforcement.
  • B. The Next Ten Minutes
    "The Next Ten Minutes" is a pivotal duet from the musical *The Last Five Years* in which the two protagonists marry, marking the emotional and structural midpoint of the show.
  • C. Ten Minutes Ago
    "Ten Minutes Ago" is a romantic show tune from the Rodgers and Hammerstein musical *Cinderella*, known for its depiction of love at first sight.
  • D. 25 Minutes to Go
    "25 Minutes to Go" is a darkly comic country-folk song, popularized by Johnny Cash, that narrates a condemned prisoner's final moments on death row.
  • E. A Minute
    A Minute is a short film set in the infamous Action Park amusement park, capturing its chaotic and dangerous atmosphere in a brief, intense runtime.
  • 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: Ten Minutes
Triple: [Byron Bowers, notableWork, Ten Minutes]
Generated description
Ten Minutes is a stand-up comedy special by comedian Byron Bowers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ten Minutes
Target entity description: Ten Minutes is a stand-up comedy special by comedian Byron Bowers.
  • A. 10 Minutes
    "10 Minutes" is a short film directed by Satie Gossett that explores themes of race, justice, and the life-altering impact of a brief encounter with law enforcement.
  • B. The Next Ten Minutes
    "The Next Ten Minutes" is a pivotal duet from the musical *The Last Five Years* in which the two protagonists marry, marking the emotional and structural midpoint of the show.
  • C. Ten Minutes Ago
    "Ten Minutes Ago" is a romantic show tune from the Rodgers and Hammerstein musical *Cinderella*, known for its depiction of love at first sight.
  • D. 25 Minutes to Go
    "25 Minutes to Go" is a darkly comic country-folk song, popularized by Johnny Cash, that narrates a condemned prisoner's final moments on death row.
  • E. A Minute
    A Minute is a short film set in the infamous Action Park amusement park, capturing its chaotic and dangerous atmosphere in a brief, intense runtime.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd030a0fc819084b523e8e63636fa completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29ad05bbc8190b103d66c9e786c86 completed April 5, 2026, 5:24 p.m.
NEDg Description generation batch_69d29ba6bf6c8190a5eb9fd5f8b6fcb3 completed April 5, 2026, 5:28 p.m.
NED2 Entity disambiguation (via description) batch_69d29c7e1f0c8190890b1f4a245006a4 completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 9 p.m.