Triple

T17977183
Position Surface form Disambiguated ID Type / Status
Subject Will Gluck E449504 entity
Predicate notableWork P4 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: [Will Gluck, notableWork, Easy A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Easy A
Context triple: [Will Gluck, notableWork, 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 was the codename for one of the nuclear test detonations conducted during the U.S. Operation Ranger series in early 1951 at the Nevada Test Site.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b20010c8819088c022565183a7ff completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.