Triple

T17715028
Position Surface form Disambiguated ID Type / Status
Subject Stacked E442172 entity
Predicate character P662 FINISHED
Object Skyler Dayton NE NERFINISHED

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: Skyler Dayton | Statement: [Stacked, character, Skyler Dayton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skyler Dayton
Context triple: [Stacked, character, Skyler Dayton]
  • A. Skyler Dayton chosen
    Skyler Dayton is the free-spirited, quirky young woman who serves as the central protagonist of the sitcom "Stacked," working in a bookstore after leaving her party-girl lifestyle behind.
  • B. Skyler Stone
    Skyler Stone is an American actor and comedian known for his roles in television series such as Raising Hope and for his stand-up comedy work.
  • C. Skyler White
    Skyler White is a central character in the television series "Breaking Bad," known as Walter White's wife whose moral and personal struggles intensify as she becomes entangled in his criminal life.
  • D. Skyler
    Skyler is the given first name of the American rapper and lyricist known professionally as Skyzoo.
  • E. Skyler
    Skyler is a central character from the television series "Breaking Bad," known as Walter White's wife who becomes increasingly entangled in his criminal activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4747f217081909010f396caaf03be completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.