Triple

T6296652
Position Surface form Disambiguated ID Type / Status
Subject Beau Flynn E141146 entity
Predicate notableWork P4 FINISHED
Object Paycheck
Paycheck is a 2003 science fiction action thriller film, based on a Philip K. Dick short story, about an engineer who must piece together his erased memories to uncover a conspiracy.
 E582867 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: Paycheck | Statement: [Beau Flynn, notableWork, Paycheck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paycheck
Context triple: [Beau Flynn, notableWork, Paycheck]
  • A. Payday
    Payday is a 1973 American drama film starring Rip Torn as a hard-living country singer whose self-destructive lifestyle unravels over the course of a few chaotic days.
  • B. Payday
    "Payday" is a song by the American rock band Culture, recognized as one of their notable musical works.
  • C. Paycom
    Paycom is a U.S.-based software company that provides cloud-based payroll and human capital management solutions to businesses.
  • D. Payback
    Payback is a 1999 neo-noir crime film starring Mel Gibson as a vengeful thief seeking repayment after being double-crossed.
  • E. Pay Me My Money Down
    "Pay Me My Money Down" is a traditional American work song popularized in the folk revival and later notably covered by Bruce Springsteen.
  • 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: Paycheck
Triple: [Beau Flynn, notableWork, Paycheck]
Generated description
Paycheck is a 2003 science fiction action thriller film, based on a Philip K. Dick short story, about an engineer who must piece together his erased memories to uncover a conspiracy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paycheck
Target entity description: Paycheck is a 2003 science fiction action thriller film, based on a Philip K. Dick short story, about an engineer who must piece together his erased memories to uncover a conspiracy.
  • A. Payday
    Payday is a 1973 American drama film starring Rip Torn as a hard-living country singer whose self-destructive lifestyle unravels over the course of a few chaotic days.
  • B. Payday
    "Payday" is a song by the American rock band Culture, recognized as one of their notable musical works.
  • C. Paycom
    Paycom is a U.S.-based software company that provides cloud-based payroll and human capital management solutions to businesses.
  • D. Payback
    Payback is a 1999 neo-noir crime film starring Mel Gibson as a vengeful thief seeking repayment after being double-crossed.
  • E. Pay Me My Money Down
    "Pay Me My Money Down" is a traditional American work song popularized in the folk revival and later notably covered by Bruce Springsteen.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ac2b48190b2db036ce709e7ea completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5198e2c1c81909d39adffbdadcbdf completed March 26, 2026, 11:33 a.m.
NEDg Description generation batch_69c51b04fa688190a366d5c90150a530 completed March 26, 2026, 11:39 a.m.
NED2 Entity disambiguation (via description) batch_69c583978758819094aebde9d410f849 completed March 26, 2026, 7:05 p.m.
Created at: March 22, 2026, 4:27 p.m.