Triple

T16008495
Position Surface form Disambiguated ID Type / Status
Subject Glen Powell E388277 entity
Predicate appearedIn P795 FINISHED
Object Anyone but You E1189005 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: Anyone but You | Statement: [Glen Powell, appearedIn, Anyone but You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anyone but You
Context triple: [Glen Powell, appearedIn, Anyone but You]
  • A. Anyone but You chosen
    Anyone but You is a 2023 romantic comedy film starring Glen Powell and Sydney Sweeney, loosely inspired by Shakespeare’s "Much Ado About Nothing."
  • B. Anyone But You
    "Anyone But You" is a song featured on the album "Welcome to the Freakshow."
  • C. Nobody but You
    "Nobody but You" is a country duet by Blake Shelton and Gwen Stefani that became a popular romantic hit upon its release in 2020.
  • D. Another You
    "Another You" is a 1991 comedy film starring Richard Pryor and Gene Wilder, known as their final on-screen collaboration.
  • E. Everything but You
    "Everything but You" is a jazz standard popularized in the Duke Ellington revue and songbook, often performed in sophisticated big band and vocal jazz arrangements.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15800e3608190bd3e1123ccc6c326 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbcc12dc8190a80d776b63a6ad35 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:55 a.m.