Triple

T2775445
Position Surface form Disambiguated ID Type / Status
Subject Toni Merkens E61557 entity
Predicate familyName P18 FINISHED
Object Merkens
Merkens is a German surname most notably associated with Olympic track cyclist Toni Merkens.
 E297437 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: Merkens | Statement: [Toni Merkens, familyName, Merkens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Merkens
Context triple: [Toni Merkens, familyName, Merkens]
  • A. Merksem
    Merksem is a northern district of the Belgian city of Antwerp, known as a predominantly residential area with local commerce and sports facilities.
  • B. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • C. Menzel
    Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
  • D. Murch
    Murch is the surname of Walter Murch, the acclaimed American film editor and sound designer known for his work on films like "Apocalypse Now" and "The English Patient."
  • E. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • 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: Merkens
Triple: [Toni Merkens, familyName, Merkens]
Generated description
Merkens is a German surname most notably associated with Olympic track cyclist Toni Merkens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Merkens
Target entity description: Merkens is a German surname most notably associated with Olympic track cyclist Toni Merkens.
  • A. Merksem
    Merksem is a northern district of the Belgian city of Antwerp, known as a predominantly residential area with local commerce and sports facilities.
  • B. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • C. Menzel
    Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
  • D. Murch
    Murch is the surname of Walter Murch, the acclaimed American film editor and sound designer known for his work on films like "Apocalypse Now" and "The English Patient."
  • E. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd81015481908785fbef0326a2db completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc058c8a48190bbd151251678b4ee completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc15513f48190a22f83571be2e0bd completed March 10, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69afc1c9440c8190abf9dc063109af45 completed March 10, 2026, 7:01 a.m.
Created at: March 6, 2026, 9:57 p.m.