Triple

T16008486
Position Surface form Disambiguated ID Type / Status
Subject Glen Powell E388277 entity
Predicate notableWork P4 FINISHED
Object Anyone but You
Anyone but You is a 2023 romantic comedy film starring Glen Powell and Sydney Sweeney, loosely inspired by Shakespeare’s "Much Ado About Nothing."
 E1189005 NE FINISHED

How this triple was built (4 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, notableWork, Anyone but You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anyone but You
Context triple: [Glen Powell, notableWork, Anyone but You]
  • A. Anyone But You
    "Anyone But You" is a song featured on the album "Welcome to the Freakshow."
  • B. 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.
  • C. Another You
    "Another You" is a 1991 comedy film starring Richard Pryor and Gene Wilder, known as their final on-screen collaboration.
  • D. 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.
  • E. Always Be My Maybe
    Always Be My Maybe is a 2019 romantic comedy film starring Ali Wong and Randall Park, known for its witty script and Keanu Reeves’ memorable self-parodying cameo.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anyone but You
Triple: [Glen Powell, notableWork, Anyone but You]
Generated description
Anyone but You is a 2023 romantic comedy film starring Glen Powell and Sydney Sweeney, loosely inspired by Shakespeare’s "Much Ado About Nothing."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anyone but You
Target entity description: Anyone but You is a 2023 romantic comedy film starring Glen Powell and Sydney Sweeney, loosely inspired by Shakespeare’s "Much Ado About Nothing."
  • A. Anyone But You
    "Anyone But You" is a song featured on the album "Welcome to the Freakshow."
  • B. 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.
  • C. Another You
    "Another You" is a 1991 comedy film starring Richard Pryor and Gene Wilder, known as their final on-screen collaboration.
  • D. 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.
  • E. Always Be My Maybe
    Always Be My Maybe is a 2019 romantic comedy film starring Ali Wong and Randall Park, known for its witty script and Keanu Reeves’ memorable self-parodying cameo.
  • F. None of above. chosen

Provenance (5 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_69ffcf22db3481909141ddef151d0341 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffd08186d081909b6e236768dc3cde completed May 10, 2026, 12:25 a.m.
NED2 Entity disambiguation (via description) batch_69ffd0f1914c81908c55df30a27fc0d1 completed May 10, 2026, 12:27 a.m.
Created at: April 10, 2026, 4:55 a.m.