Triple

T3296515
Position Surface form Disambiguated ID Type / Status
Subject Mariska Hargitay E69229 entity
Predicate givenName P17 FINISHED
Object Mariska
Mariska is a feminine given name most prominently associated with American actress Mariska Hargitay.
 E344041 NE FINISHED

How this triple was built (4 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 | Statement: [Mariska Hargitay, givenName, Mariska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mariska
Context triple: [Mariska Hargitay, givenName, Mariska]
  • A. Julianna
    Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
  • B. Madelyn
    Madelyn is a feminine given name, often considered a modern variant of Madeline and commonly used in English-speaking countries.
  • C. Bridgette
    Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
  • D. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • E. Gianna
    Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mariska
Triple: [Mariska Hargitay, givenName, Mariska]
Generated description
Mariska is a feminine given name most prominently associated with American actress Mariska Hargitay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mariska
Target entity description: Mariska is a feminine given name most prominently associated with American actress Mariska Hargitay.
  • A. Julianna
    Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
  • B. Madelyn
    Madelyn is a feminine given name, often considered a modern variant of Madeline and commonly used in English-speaking countries.
  • C. Bridgette
    Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
  • D. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • E. Gianna
    Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69b2e8e42ecc8190b81d1b64f9fba0c1 completed March 12, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69b2e954ec18819096f31feb9e985b6a completed March 12, 2026, 4:27 p.m.
Created at: March 8, 2026, 3:10 p.m.