Triple

T16622877
Position Surface form Disambiguated ID Type / Status
Subject Danielle Panabaker as Caitlin Snow E403875 entity
Predicate alsoKnownAs P39 FINISHED
Object Frost E111824 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: Frost | Statement: [Danielle Panabaker as Caitlin Snow, alsoKnownAs, Frost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frost
Context triple: [Danielle Panabaker as Caitlin Snow, alsoKnownAs, Frost]
  • A. Frost
    Frost is the middle name of George F. Kennan, the influential American diplomat and historian known for shaping the U.S. Cold War containment strategy.
  • B. Frost chosen
    Frost is a common English surname borne by numerous notable individuals, including the American poet Robert Frost.
  • C. Frostiana
    Frostiana is a choral song cycle by American composer Randall Thompson, setting poems by Robert Frost to music.
  • D. Mraz
    Mraz is a surname most notably associated with American singer-songwriter Jason Mraz.
  • E. Winterslag
    Winterslag is a district of the Belgian city of Genk, historically known as a coal mining community.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754f4f508190a5b4b8511623fcd4 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db4a9288190aea7db58bb379404 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.