Triple

T617101
Position Surface form Disambiguated ID Type / Status
Subject Cailee Spaeny E14429 entity
Predicate name P16 FINISHED
Object Cailee Spaeny E14429 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: Cailee Spaeny | Statement: [Cailee Spaeny, name, Cailee Spaeny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cailee Spaeny
Context triple: [Cailee Spaeny, name, Cailee Spaeny]
  • A. Cailee Spaeny chosen
    Cailee Spaeny is an American actress known for her breakout role in the science fiction film "Pacific Rim: Uprising" and subsequent performances in both film and television.
  • B. Olivia Thirlby
    Olivia Thirlby is an American actress known for her roles in films such as "Juno," "Dredd," and various independent and mainstream productions.
  • C. Robin Ruzan
    Robin Ruzan is an American writer, producer, and actress known for her work in comedy and television, including contributions to projects associated with "Saturday Night Live."
  • D. Rachel Brosnahan
    Rachel Brosnahan is an American actress best known for her acclaimed, award-winning performance as the title character in the television series "The Marvelous Mrs. Maisel."
  • E. Elisabeth Moss
    Elisabeth Moss is an acclaimed American actress best known for her powerful lead performances in television dramas such as "Mad Men" and "The Handmaid's Tale."
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e22f3688190a512bec3f0347814 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a6d19248190a5a57930153a208f completed March 2, 2026, 1:02 p.m.
Created at: March 1, 2026, 7:35 p.m.