Triple

T14228216
Position Surface form Disambiguated ID Type / Status
Subject Marcos E352679 entity
Predicate hasVariant P455 FINISHED
Object Markos
Markos is a given name, commonly used in Greek and other cultures, that corresponds to the variant form "Marcos."
 E1087134 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: Markos | Statement: [Marcos, hasVariant, Markos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Markos
Context triple: [Marcos, hasVariant, Markos]
  • A. Mark Palios
    Mark Palios is an English former professional footballer, chartered accountant, and ex–FA chief executive who became a co-owner and chairman of Tranmere Rovers.
  • B. Stavros
    Stavros is a small coastal village on the Greek island of Ithaca, known for its traditional charm and proximity to the harbor town of Frikes.
  • C. Stavros
    Stavros is a coastal town situated on the shores of the Strymonian Gulf in northern Greece, known for its beaches and tourism.
  • D. Markus
    Markus is the first name of American professional baseball star Mookie Betts.
  • E. Markus
    Markus is a masculine given name of Latin origin, commonly used in various European countries and derived from the name Marcus.
  • 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: Markos
Triple: [Marcos, hasVariant, Markos]
Generated description
Markos is a given name, commonly used in Greek and other cultures, that corresponds to the variant form "Marcos."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Markos
Target entity description: Markos is a given name, commonly used in Greek and other cultures, that corresponds to the variant form "Marcos."
  • A. Mark Palios
    Mark Palios is an English former professional footballer, chartered accountant, and ex–FA chief executive who became a co-owner and chairman of Tranmere Rovers.
  • B. Stavros
    Stavros is a small coastal village on the Greek island of Ithaca, known for its traditional charm and proximity to the harbor town of Frikes.
  • C. Stavros
    Stavros is a coastal town situated on the shores of the Strymonian Gulf in northern Greece, known for its beaches and tourism.
  • D. Markus
    Markus is the given first name of the renowned abstract expressionist painter Mark Rothko.
  • E. Markus
    Markus is the first name of American professional baseball star Mookie Betts.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622a48508190bbfedb762bd1674d completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281801488190bcb17d27ee18cde6 completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd29a470a08190b18c184466bbe0a9 completed May 8, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69fd2a61842481909388c83480482aeb completed May 8, 2026, 12:12 a.m.
Created at: April 10, 2026, 1:07 a.m.