Triple

T14594411
Position Surface form Disambiguated ID Type / Status
Subject Rip Torn E342520 entity
Predicate actedIn P1668 FINISHED
Object Payday E342523 NE FINISHED

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: [Rip Torn, actedIn, Payday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Payday
Context triple: [Rip Torn, actedIn, Payday]
  • A. Payday chosen
    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. 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 2 (console versions)
    Payday 2 (console versions) is the home-console adaptation of the cooperative first-person heist shooter Payday 2, featuring multiplayer crime sprees and progression tailored for console platforms.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43480d8819084a707e56da2c237 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c60448819098cfab7dd292f0cd completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.