Triple

T12550010
Position Surface form Disambiguated ID Type / Status
Subject Mareva Grabowski-Mitsotaki E300072 entity
Predicate familyName P18 FINISHED
Object Grabowski-Mitsotaki
Grabowski-Mitsotaki is the hyphenated family name associated with Mareva Grabowski-Mitsotaki, a Greek public figure known for her social and philanthropic activities.
 E990355 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: Grabowski-Mitsotaki | Statement: [Mareva Grabowski-Mitsotaki, familyName, Grabowski-Mitsotaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grabowski-Mitsotaki
Context triple: [Mareva Grabowski-Mitsotaki, familyName, Grabowski-Mitsotaki]
  • A. Grabowski
    Grabowski is a Polish-origin surname borne by numerous individuals across fields such as sports, arts, and public life.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Morawka
    Morawka is a river in southwestern Poland that serves as a tributary of the Nysa Kłodzka.
  • D. Grabowsky
    Grabowsky is a surname most notably associated with Australian pianist, composer, and conductor Paul Grabowsky.
  • E. Gordon-Lazareff
    Gordon-Lazareff is the surname of Hélène Gordon-Lazareff, a notable French journalist and founder of the women’s magazine Elle.
  • 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: Grabowski-Mitsotaki
Triple: [Mareva Grabowski-Mitsotaki, familyName, Grabowski-Mitsotaki]
Generated description
Grabowski-Mitsotaki is the hyphenated family name associated with Mareva Grabowski-Mitsotaki, a Greek public figure known for her social and philanthropic activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grabowski-Mitsotaki
Target entity description: Grabowski-Mitsotaki is the hyphenated family name associated with Mareva Grabowski-Mitsotaki, a Greek public figure known for her social and philanthropic activities.
  • A. Grabowski
    Grabowski is a Polish-origin surname borne by numerous individuals across fields such as sports, arts, and public life.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Morawka
    Morawka is a river in southwestern Poland that serves as a tributary of the Nysa Kłodzka.
  • D. Grabowsky
    Grabowsky is a surname most notably associated with Australian pianist, composer, and conductor Paul Grabowsky.
  • E. Gordon-Lazareff
    Gordon-Lazareff is the surname of Hélène Gordon-Lazareff, a notable French journalist and founder of the women’s magazine Elle.
  • 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.