Triple

T12550009
Position Surface form Disambiguated ID Type / Status
Subject Mareva Grabowski-Mitsotaki E300072 entity
Predicate givenName P17 FINISHED
Object Mareva
Mareva is a feminine given name, notably borne by Mareva Grabowski-Mitsotaki, a French-Polynesian businesswoman and former First Lady of Greece.
 E990354 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: Mareva | Statement: [Mareva Grabowski-Mitsotaki, givenName, Mareva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mareva
Context triple: [Mareva Grabowski-Mitsotaki, givenName, Mareva]
  • A. Sidonie
    Sidonie is a character in Jean-Baptiste Lully’s opera *Armide*, typically portrayed as one of Armide’s attendants or confidantes within the enchanted realm.
  • B. Marina
    Marina is a recurring comedic character in the long-running British sitcom "Last of the Summer Wine," known for her flirtatious relationship with the married Howard.
  • C. Marina
    Marina is the given name of Marina von Neumann Whitman, an American economist and former General Motors executive.
  • D. Marina
    Marina is a female given name of Latin origin, commonly used in various cultures and often associated with the sea.
  • E. Marina
    Marina is a 2012 Tamil coming-of-age drama film that helped establish Sivakarthikeyan as a leading actor in the Tamil film industry.
  • 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: Mareva
Triple: [Mareva Grabowski-Mitsotaki, givenName, Mareva]
Generated description
Mareva is a feminine given name, notably borne by Mareva Grabowski-Mitsotaki, a French-Polynesian businesswoman and former First Lady of Greece.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mareva
Target entity description: Mareva is a feminine given name, notably borne by Mareva Grabowski-Mitsotaki, a French-Polynesian businesswoman and former First Lady of Greece.
  • A. Sidonie
    Sidonie is a character in Jean-Baptiste Lully’s opera *Armide*, typically portrayed as one of Armide’s attendants or confidantes within the enchanted realm.
  • B. Marina
    Marina is a recurring comedic character in the long-running British sitcom "Last of the Summer Wine," known for her flirtatious relationship with the married Howard.
  • C. Marina
    Marina is the given name of Marina von Neumann Whitman, an American economist and former General Motors executive.
  • D. Marina
    Marina is a female given name of Latin origin, commonly used in various cultures and often associated with the sea.
  • E. Marina
    Marina is a 2012 Tamil coming-of-age drama film that helped establish Sivakarthikeyan as a leading actor in the Tamil film industry.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95482c1348190b6f964decef5cc0a completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655853ecc8190b178a489d806a0c4 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f656d02afc81909712182034bec255 completed May 2, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69f657ea0c6c8190992a0101904e92f2 completed May 2, 2026, 8 p.m.
Created at: April 8, 2026, 9:58 p.m.