Triple

T17246138
Position Surface form Disambiguated ID Type / Status
Subject Kate Upton E418629 entity
Predicate notableWork P4 FINISHED
Object The Layover
The Layover is a 2017 American comedy film starring Kate Upton and Alexandra Daddario as best friends whose vacation turns into a chaotic rivalry over the same man.
 E1259730 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: The Layover | Statement: [Kate Upton, notableWork, The Layover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Layover
Context triple: [Kate Upton, notableWork, The Layover]
  • A. Layover
    "Layover" is an R&B studio album by American vocal group Jagged Edge, showcasing their smooth harmonies and contemporary soul sound.
  • B. Last Train to Paris
    Last Train to Paris is a 2010 concept album by Diddy – Dirty Money that blends hip hop, R&B, and electronic dance music into a narrative about love and heartbreak.
  • C. Night Before Landing
    "Night Before Landing" is a short story by Ernest Hemingway featuring his recurring semi-autobiographical character Nick Adams.
  • D. Last Stop
    Last Stop is a narrative-driven adventure video game set in modern-day London that follows the intertwined supernatural stories of three playable characters.
  • E. Overheard
    Overheard is a Hong Kong crime thriller film featuring Daniel Wu in a story centered on high-stakes surveillance and financial intrigue.
  • 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: The Layover
Triple: [Kate Upton, notableWork, The Layover]
Generated description
The Layover is a 2017 American comedy film starring Kate Upton and Alexandra Daddario as best friends whose vacation turns into a chaotic rivalry over the same man.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Layover
Target entity description: The Layover is a 2017 American comedy film starring Kate Upton and Alexandra Daddario as best friends whose vacation turns into a chaotic rivalry over the same man.
  • A. Layover
    "Layover" is an R&B studio album by American vocal group Jagged Edge, showcasing their smooth harmonies and contemporary soul sound.
  • B. Last Train to Paris
    Last Train to Paris is a 2010 concept album by Diddy – Dirty Money that blends hip hop, R&B, and electronic dance music into a narrative about love and heartbreak.
  • C. Night Before Landing
    "Night Before Landing" is a short story by Ernest Hemingway featuring his recurring semi-autobiographical character Nick Adams.
  • D. Last Stop
    Last Stop is a narrative-driven adventure video game set in modern-day London that follows the intertwined supernatural stories of three playable characters.
  • E. Overheard
    Overheard is a Hong Kong crime thriller film featuring Daniel Wu in a story centered on high-stakes surveillance and financial intrigue.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e23b8948190870d0e6b4e55b4e3 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f5582c81908efb7a369a096aeb completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a017351db88819097bfbec41920a488 completed May 11, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0175f8c7d48190896f375385829a34 completed May 11, 2026, 6:23 a.m.
Created at: April 10, 2026, 5:39 a.m.