Triple

T412538
Position Surface form Disambiguated ID Type / Status
Subject Marian Smoluchowski E9520 entity
Predicate givenName P17 FINISHED
Object Marian
Marian is a given name of Latin origin commonly used in various European countries for both males and females.
 E62460 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: Marian | Statement: [Marian Smoluchowski, givenName, Marian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marian
Context triple: [Marian Smoluchowski, givenName, Marian]
  • A. Joan
    Joan is the birth name of Joni Mitchell, the influential Canadian singer-songwriter and painter renowned for her poetic lyrics and innovative compositions.
  • B. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • C. Mary
    Mary, Princess Royal and Countess of Harewood, was a daughter of King George V and Queen Mary of the United Kingdom and a prominent British royal figure in the early to mid-20th century.
  • D. Mary
    Mary is the given first name of Margaret Truman, the daughter of U.S. President Harry S. Truman and a noted author and singer.
  • E. Mary
    Mary is a central figure in Christianity, venerated as the mother of Jesus and often honored as the Virgin Mary.
  • 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: Marian
Triple: [Marian Smoluchowski, givenName, Marian]
Generated description
Marian is a given name of Latin origin commonly used in various European countries for both males and females.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marian
Target entity description: Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • A. Joan
    Joan is the birth name of Joni Mitchell, the influential Canadian singer-songwriter and painter renowned for her poetic lyrics and innovative compositions.
  • B. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • C. Mary
    Mary is a central figure in Christianity, venerated as the mother of Jesus and often honored as the Virgin Mary.
  • D. Mary
    Mary, Princess Royal and Countess of Harewood, was a daughter of King George V and Queen Mary of the United Kingdom and a prominent British royal figure in the early to mid-20th century.
  • E. Mary
    Mary is the given first name of Margaret Truman, the daughter of U.S. President Harry S. Truman and a noted author and singer.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecdafa2481908111accc918ff2e8 completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4853f45a48190ba551efc9d1fbfed completed March 1, 2026, 6:28 p.m.
NEDg Description generation batch_69a48608e55481908451593d6270531d completed March 1, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69a4865faf0881908167dbc03a1b9da6 completed March 1, 2026, 6:33 p.m.
Created at: Feb. 28, 2026, 1:09 p.m.