Triple

T9867543
Position Surface form Disambiguated ID Type / Status
Subject Mary Slöör E239871 entity
Predicate name P16 FINISHED
Object Mary Slöör
Mary Slöör is an individual whose specific public background or notable achievements are not widely documented in available sources.
E843018 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: Mary Slöör | Statement: [Mary Slöör, name, Mary Slöör]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Slöör
Context triple: [Mary Slöör, name, Mary Slöör]
  • A. Mary Slöör
    Mary Slöör was the wife of Finnish painter Akseli Gallen-Kallela and a central figure in his personal life and artistic circle.
  • B. Johanna Osthoff
    Johanna Osthoff was the first wife of the renowned German mathematician Carl Friedrich Gauss, with whom he had several children before her early death.
  • C. Johanna Geisler
    Johanna Geisler was a German operatic soprano and actress active in the early 20th century, known for her performances in major European opera houses.
  • D. Marianne Tromlitz
    Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
  • E. Marta Linden
    Marta Linden was an American film actress active in the 1930s and 1940s, known for supporting roles in Hollywood studio productions.
  • 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: Mary Slöör
Triple: [Mary Slöör, name, Mary Slöör]
Generated description
Mary Slöör is an individual whose specific public background or notable achievements are not widely documented in available sources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary Slöör
Target entity description: Mary Slöör is an individual whose specific public background or notable achievements are not widely documented in available sources.
  • A. Mary Slöör
    Mary Slöör was the wife of Finnish painter Akseli Gallen-Kallela and a central figure in his personal life and artistic circle.
  • B. Johanna Osthoff
    Johanna Osthoff was the first wife of the renowned German mathematician Carl Friedrich Gauss, with whom he had several children before her early death.
  • C. Johanna Geisler
    Johanna Geisler was a German operatic soprano and actress active in the early 20th century, known for her performances in major European opera houses.
  • D. Marianne Tromlitz
    Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
  • E. Marta Linden
    Marta Linden was an American film actress active in the 1930s and 1940s, known for supporting roles in Hollywood studio productions.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d209ac8190b9bc9ff017a132da completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb4b301c8190907d5e31ca7bb228 completed April 5, 2026, 8:51 p.m.
NEDg Description generation batch_69d2cd242ed8819097895cb15cbb5d47 completed April 5, 2026, 8:59 p.m.
NED2 Entity disambiguation (via description) batch_69d2d1204f008190a9349c071c1e8d19 completed April 5, 2026, 9:16 p.m.
Created at: March 30, 2026, 8:36 p.m.