Triple

T9640552
Position Surface form Disambiguated ID Type / Status
Subject Axel Waldemar Gallén E233052 entity
Predicate spouse P13 FINISHED
Object Mary Slöör E239871 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: Mary Slöör | Statement: [Axel Waldemar Gallén, spouse, Mary Slöör]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Slöör
Context triple: [Axel Waldemar Gallén, spouse, Mary Slöör]
  • A. Mary Slöör chosen
    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.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b552a1c81909a1fab347110eeb1 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d59ab0b48190acc133cc806582cc completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:12 p.m.