Triple

T8515609
Position Surface form Disambiguated ID Type / Status
Subject Vera Farmiga E201564 entity
Predicate birthName P65 FINISHED
Object Vera Ann Farmiga E201564 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: Vera Ann Farmiga | Statement: [Vera Farmiga, birthName, Vera Ann Farmiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vera Ann Farmiga
Context triple: [Vera Farmiga, birthName, Vera Ann Farmiga]
  • A. Vera Farmiga chosen
    Vera Farmiga is an American actress known for her acclaimed performances in films such as "The Conjuring" series and "Up in the Air," as well as the TV series "Bates Motel."
  • B. Maura West
    Maura West is an American actress best known for her long-running, Emmy-winning work in daytime soap operas.
  • C. Linda Cardellini
    Linda Cardellini is an American actress known for her versatile roles in film and television, including prominent performances in "Freaks and Geeks," "ER," "Bloodline," and as Laura Barton in the Marvel Cinematic Universe.
  • D. Michaela Watkins
    Michaela Watkins is an American actress and comedian known for her work on "Saturday Night Live" and in numerous television comedies and films.
  • E. Melinda Dillon
    Melinda Dillon was an American actress best known for her Oscar-nominated role in "Close Encounters of the Third Kind" and for playing the mother in the holiday classic "A Christmas Story."
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60f37b0819082ae14e539f57b56 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc53555c8190b910b3220bd701b4 completed April 2, 2026, 8:06 p.m.
Created at: March 30, 2026, 6:15 p.m.