Triple

T22395469
Position Surface form Disambiguated ID Type / Status
Subject Friday the 13th (2009 film) E553617 entity
Predicate stars P1956 FINISHED
Object Danielle Panabaker 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: Danielle Panabaker | Statement: [Friday the 13th (2009 film), stars, Danielle Panabaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danielle Panabaker
Context triple: [Friday the 13th (2009 film), stars, Danielle Panabaker]
  • A. Danielle Panabaker chosen
    Danielle Panabaker is an American actress best known for her role as Caitlin Snow/Killer Frost in the Arrowverse television series "The Flash."
  • B. Lauren Beal
    Lauren Beal is an artist known for contributing creative work to the project or publication titled "Layers."
  • C. Kay Panabaker
    Kay Panabaker is an American former child actress and current zoologist known for roles in TV series like "Summerland" and "No Ordinary Family" before leaving acting to work with animals.
  • D. Adrianne Palicki
    Adrianne Palicki is an American actress best known for her roles in television series such as "Friday Night Lights," "Agents of S.H.I.E.L.D.," and "The Orville," as well as films like "G.I. Joe: Retaliation" and "John Wick."
  • E. Laura Diamond
    Laura Diamond is the sharp, determined NYPD homicide detective and juggling single mother who serves as the central protagonist of the TV series "The Mysteries of Laura."
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585e84b081908c95ed3e0d987ed8 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.