Triple

T12718742
Position Surface form Disambiguated ID Type / Status
Subject Mart Stam E303917 entity
Predicate givenName P17 FINISHED
Object Mart
Mart is the given name of Mart Stam, a Dutch architect and furniture designer known for pioneering modernist and tubular steel chair designs.
 E1000444 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: Mart | Statement: [Mart Stam, givenName, Mart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mart
Context triple: [Mart Stam, givenName, Mart]
  • A. Mer
    Mer is a small commune in central France located in the Loir-et-Cher department, known for its proximity to the Loire River and several historic châteaux.
  • B. Mate
    Mate is a Croatian entrepreneur and engineer best known as the founder and CEO of electric hypercar manufacturer Rimac Automobili.
  • C. Miller
    Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
  • D. Mus
    Mus is the cognomen of the Roman family line to which the consul Publius Decius Mus of 279 BCE belonged, associated with a notable lineage of Republican military leaders.
  • E. Marg
    Marg is a given name, typically a shortened form of Margaret, used primarily in English-speaking contexts.
  • 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: Mart
Triple: [Mart Stam, givenName, Mart]
Generated description
Mart is the given name of Mart Stam, a Dutch architect and furniture designer known for pioneering modernist and tubular steel chair designs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mart
Target entity description: Mart is the given name of Mart Stam, a Dutch architect and furniture designer known for pioneering modernist and tubular steel chair designs.
  • A. Mer
    Mer is a small commune in central France located in the Loir-et-Cher department, known for its proximity to the Loire River and several historic châteaux.
  • B. Mate
    Mate is a Croatian entrepreneur and engineer best known as the founder and CEO of electric hypercar manufacturer Rimac Automobili.
  • C. Miller
    Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
  • D. Mus
    Mus is the cognomen of the Roman family line to which the consul Publius Decius Mus of 279 BCE belonged, associated with a notable lineage of Republican military leaders.
  • E. Marg
    Marg is a given name, typically a shortened form of Margaret, used primarily in English-speaking contexts.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9625d9da48190ab377f9328a0e1f5 completed April 10, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8250108190bb7b3c93e590ea47 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67db4dd2081909a238e368645e899 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67ececce8819080335e67bd747057 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:24 p.m.