Triple

T15909420
Position Surface form Disambiguated ID Type / Status
Subject Ana Gasteyer E385806 entity
Predicate birthName P65 FINISHED
Object Ana Kristina Gasteyer E385806 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: Ana Kristina Gasteyer | Statement: [Ana Gasteyer, birthName, Ana Kristina Gasteyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ana Kristina Gasteyer
Context triple: [Ana Gasteyer, birthName, Ana Kristina Gasteyer]
  • A. Ana Gasteyer chosen
    Ana Gasteyer is an American actress and comedian best known for her work on "Saturday Night Live" and roles in films and television, including the cult teen comedy "Mean Girls."
  • B. Kristen Dohring
    Kristen Dohring is an actress best known for playing Chrissy Seaver on the television sitcom "Growing Pains."
  • C. Candice Accola
    Candice Accola is an American actress and singer best known for her role as Caroline Forbes on the television series "The Vampire Diaries."
  • D. Alexandra Behrs
    Alexandra Behrs was a member of the Behrs family and a sister of Sofya Andreyevna Behrs, the wife of Russian writer Leo Tolstoy.
  • E. Kirsten Nelson
    Kirsten Nelson is an American actress best known for her role as police chief Karen Vick on the television series "Psych."
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565d2f048190a40379ceae00411a completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a5b0dc81909606d667c3bc0edf completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.