Triple

T16190462
Position Surface form Disambiguated ID Type / Status
Subject Cole Sprouse E392923 entity
Predicate notableWork P4 FINISHED
Object Five Feet Apart E1199115 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: Five Feet Apart | Statement: [Cole Sprouse, notableWork, Five Feet Apart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Five Feet Apart
Context triple: [Cole Sprouse, notableWork, Five Feet Apart]
  • A. Five Feet Apart chosen
    Five Feet Apart is a 2019 romantic drama film about two teenagers with cystic fibrosis who fall in love while being forced to maintain physical distance for medical reasons.
  • B. Six Feet Apart
    Six Feet Apart is a film featuring actor Christopher Candy in a prominent role.
  • C. All the Bright Places
    All the Bright Places is a young adult novel by Jennifer Niven that explores themes of mental illness, grief, and first love through the story of two troubled teenagers who form a transformative bond.
  • D. 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."
  • E. The Fault in Our Stars
    The Fault in Our Stars is a bestselling young adult novel by John Green, later adapted into a popular romantic drama film about two teenagers with cancer who fall in love.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d4ab8081909a02e5138b29b83b completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078bbc388190b3fb793556ddd75a completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:02 a.m.