Triple

T4098045
Position Surface form Disambiguated ID Type / Status
Subject Marks E87869 entity
Predicate isVariantOf P455 FINISHED
Object Markes
Markes is a given name and surname used by various individuals, often as a variant spelling of "Marks."
 E87869 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: Markes | Statement: [Marks, isVariantOf, Markes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Markes
Context triple: [Marks, isVariantOf, Markes]
  • A. Marken
    Marken is a small, picturesque former island village in the Netherlands known for its traditional wooden houses, fishing heritage, and distinctive cultural character.
  • B. Merkens
    Merkens is a German surname most notably associated with Olympic track cyclist Toni Merkens.
  • C. Marks
    Marks is a surname of English and Jewish origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • D. Money Mark
    Money Mark is an American keyboardist, producer, and songwriter best known for his longtime collaborations with the Beastie Boys and his eclectic solo work blending funk, rock, and experimental sounds.
  • E. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • 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: Markes
Triple: [Marks, isVariantOf, Markes]
Generated description
Markes is a given name and surname used by various individuals, often as a variant spelling of "Marks."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Markes
Target entity description: Markes is a given name and surname used by various individuals, often as a variant spelling of "Marks."
  • A. Marken
    Marken is a small, picturesque former island village in the Netherlands known for its traditional wooden houses, fishing heritage, and distinctive cultural character.
  • B. Merkens
    Merkens is a German surname most notably associated with Olympic track cyclist Toni Merkens.
  • C. Marks chosen
    Marks is a surname of English and Jewish origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • D. Money Mark
    Money Mark is an American keyboardist, producer, and songwriter best known for his longtime collaborations with the Beastie Boys and his eclectic solo work blending funk, rock, and experimental sounds.
  • E. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • F. None of above.

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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefce017708190a4d33753fd32a7bb completed March 9, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b725788819091c6aaeccfb86964 completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56c5bb12881908cf2c74d68ecd5b6 completed March 14, 2026, 2:10 p.m.
NED2 Entity disambiguation (via description) batch_69b56cc2ae948190a5e13992626dd547 completed March 14, 2026, 2:12 p.m.
Created at: March 9, 2026, 3:40 p.m.