Triple

T3367978
Position Surface form Disambiguated ID Type / Status
Subject Marcus E70882 entity
Predicate hasCognate P2525 FINISHED
Object Marko
Marko is a masculine given name, commonly used in Slavic and other European cultures, that is cognate with the name Marcus.
 E352680 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: Marko | Statement: [Marcus, hasCognate, Marko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marko
Context triple: [Marcus, hasCognate, Marko]
  • A. Luka
    Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
  • B. Julijan
    Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
  • C. Markus
    Markus is the given first name of the renowned abstract expressionist painter Mark Rothko.
  • D. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • E. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • 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: Marko
Triple: [Marcus, hasCognate, Marko]
Generated description
Marko is a masculine given name, commonly used in Slavic and other European cultures, that is cognate with the name Marcus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marko
Target entity description: Marko is a masculine given name, commonly used in Slavic and other European cultures, that is cognate with the name Marcus.
  • A. Luka
    Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
  • B. Julijan
    Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
  • C. Markus
    Markus is the given first name of the renowned abstract expressionist painter Mark Rothko.
  • D. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • E. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2890480819082fe2e3c2874cece completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3343664cc81909793820377b4bdc1 completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334f75e708190aed8b388c9ea55d2 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3359ab56881908e247ba54c7dd6c7 completed March 12, 2026, 9:52 p.m.
Created at: March 8, 2026, 3:13 p.m.