Triple

T3296513
Position Surface form Disambiguated ID Type / Status
Subject Mariska Hargitay E69229 entity
Predicate name P16 FINISHED
Object Mariska Hargitay E69229 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: Mariska Hargitay | Statement: [Mariska Hargitay, name, Mariska Hargitay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariska Hargitay
Context triple: [Mariska Hargitay, name, Mariska Hargitay]
  • A. Mariska Hargitay chosen
    Mariska Hargitay is an American actress best known for her long-running role as Detective Olivia Benson on the television series "Law & Order: Special Victims Unit."
  • B. Edie Falco
    Edie Falco is an American actress best known for her acclaimed television roles, particularly as Carmela Soprano on "The Sopranos" and Jackie Peyton on "Nurse Jackie."
  • C. Mary-Louise Parker
    Mary-Louise Parker is an American actress best known for her roles in the television series "Weeds" and numerous acclaimed film and stage performances.
  • D. Angie Harmon
    Angie Harmon is an American actress and former model best known for her starring role as detective Jane Rizzoli on the television series "Rizzoli & Isles."
  • E. Maura Tierney
    Maura Tierney is an American actress best known for her roles on the television series "ER" and "NewsRadio," as well as in various film and stage productions.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb078f3dc8190afb624f62894e48f completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86e867c8190a1e5042a4d4d92cb completed March 12, 2026, 4:23 p.m.
Created at: March 8, 2026, 3:10 p.m.