Triple

T20983187
Position Surface form Disambiguated ID Type / Status
Subject Starbreeze Studios E516818 entity
Predicate hasFranchise P13614 FINISHED
Object Payday NE NERFINISHED

How this triple was built (2 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: Payday | Statement: [Starbreeze Studios, hasFranchise, Payday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Payday
Context triple: [Starbreeze Studios, hasFranchise, Payday]
  • A. Payday
    "Payday" is a song by the American rock band Culture, recognized as one of their notable musical works.
  • B. 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.
  • C. The Pay Day
    The Pay Day is a British heist comedy film that follows a broke IT technician who is drawn into a risky data theft scheme that spirals out of control.
  • D. Payday: The Heist
    Payday: The Heist is a cooperative first-person shooter video game focused on executing high-stakes robberies and criminal missions with a team-based, tactical approach.
  • E. Payday 3 chosen
    Payday 3 is a cooperative first-person heist shooter game and the third main installment in the Payday series, featuring team-based robberies and high-stakes criminal missions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe03244819097630333e70c4e88 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:48 p.m.