Triple

T20558586
Position Surface form Disambiguated ID Type / Status
Subject Penn Badgley E504784 entity
Predicate appearedIn P795 FINISHED
Object Easy A 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: Easy A | Statement: [Penn Badgley, appearedIn, Easy A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Easy A
Context triple: [Penn Badgley, appearedIn, Easy A]
  • A. Easy A chosen
    Easy A is a 2010 teen comedy film that satirizes high school culture and social reputation, starring Emma Stone as a student whose fabricated promiscuity spirals out of control.
  • B. Easy Easy
    "Easy Easy" is a track by the electronic music duo TNGHT, known for its heavy, experimental trap-influenced production.
  • C. Easy
    "Easy" is a track from Kanye West's album *Donda 2*, notable for its raw, confrontational lyrics and high-profile collaborations.
  • D. Easy
    Easy is a South American home improvement and construction retail chain known for selling building materials, tools, and household products.
  • E. Easy
    "Easy" is a track from Nicki Minaj's mixtape *Beam Me Up Scotty*, showcasing her early rap style and lyrical bravado.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5e178648190910795bae5422e50 completed April 20, 2026, 10:17 p.m.
Created at: April 16, 2026, 11:38 a.m.