Triple

T6273536
Position Surface form Disambiguated ID Type / Status
Subject Maria Papagou E140596 entity
Predicate name P16 FINISHED
Object Maria Papagou E140596 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: Maria Papagou | Statement: [Maria Papagou, name, Maria Papagou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Papagou
Context triple: [Maria Papagou, name, Maria Papagou]
  • A. Maria Papagou chosen
    Maria Papagou was the wife of Greek field marshal and Prime Minister Alexander Papagos and a member of Greece’s political-military elite in the mid-20th century.
  • B. Nea Moudania
    Nea Moudania is a coastal town in northern Greece known as a major fishing and commercial center and a popular seaside resort on the Chalkidiki peninsula.
  • C. Maria Pappadimos
    Maria Pappadimos is a key resistance fighter character in the World War II adventure film "The Guns of Navarone."
  • D. Amalia Koutsouri-Vourekas
    Amalia Koutsouri-Vourekas was a Greek-born physician who became the second wife of Nobel Prize–winning bacteriologist Alexander Fleming.
  • E. Mathilda Ereni Gianopoulos
    Mathilda Ereni Gianopoulos is the daughter of American actress and 1980s teen icon Molly Ringwald.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063be5a148190a8752426d2d220f8 completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446ad060819094acd817ba5eadc9 completed March 24, 2026, 7:59 a.m.
Created at: March 22, 2026, 4:25 p.m.