Triple

T12447423
Position Surface form Disambiguated ID Type / Status
Subject Merkens E297437 entity
Predicate hasNotableBearer P458 FINISHED
Object Toni Merkens E61557 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: Toni Merkens | Statement: [Merkens, hasNotableBearer, Toni Merkens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toni Merkens
Context triple: [Merkens, hasNotableBearer, Toni Merkens]
  • A. Toni Merkens chosen
    Toni Merkens was a German track cyclist best known for winning the gold medal in the sprint event at the 1936 Berlin Olympics.
  • B. Emily Damstra
    Emily Damstra is a Canadian-born scientific illustrator and coin designer known for her detailed nature-themed artwork for the U.S. Mint and other institutions.
  • C. Connie Palmen
    Connie Palmen is a Dutch novelist and essayist known for her psychologically rich, intellectually layered works that explore identity, relationships, and authorship.
  • D. Gerdy Troost
    Gerdy Troost was a German interior designer and architect closely associated with National Socialist architecture and the continuation of her husband Paul Troost’s work after his death.
  • E. Bete Denagel
    Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d90f18c819083a36ff4b9be4a20 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f132d048190b58a8381bdc74cad completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.