Triple

T15747862
Position Surface form Disambiguated ID Type / Status
Subject Kurt Fuller E381764 entity
Predicate notableWork P4 FINISHED
Object Better With You E1166582 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: Better With You | Statement: [Kurt Fuller, notableWork, Better With You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Better With You
Context triple: [Kurt Fuller, notableWork, Better With You]
  • A. Better With You chosen
    Better With You is a 2011 American sitcom starring Jesse McCartney that follows three couples at different stages of their romantic relationships.
  • B. Walk with You
    "Walk with You" is a song best known as the opening theme for the inspirational television drama series *Touched by an Angel*.
  • C. Nobody Likes You
    "Nobody Likes You" is a hidden, softer ballad section within Green Day’s song “Homecoming” on their album *American Idiot*, reflecting themes of isolation and self-doubt.
  • D. Booksmart
    Booksmart is a 2019 coming-of-age comedy film that follows two overachieving high school friends who decide to cram four years of missed fun into one wild night before graduation.
  • E. The Big Sick
    The Big Sick is a 2017 romantic comedy-drama film based on the real-life courtship of Kumail Nanjiani and Emily V. Gordon, blending culture-clash humor with heartfelt drama.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502d72008190b4d13a6b3a12e467 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8309cba881909579ee5a62b3aa31 completed May 9, 2026, 6:55 p.m.
Created at: April 10, 2026, 4:46 a.m.