Triple

T15271953
Position Surface form Disambiguated ID Type / Status
Subject Mariam Edez Adelaida Leventon E365039 entity
Predicate spouse P13 FINISHED
Object Sergei Golovin E365041 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: Sergei Golovin | Statement: [Mariam Edez Adelaida Leventon, spouse, Sergei Golovin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergei Golovin
Context triple: [Mariam Edez Adelaida Leventon, spouse, Sergei Golovin]
  • A. Sergei Golovin chosen
    Sergei Golovin was the husband of renowned Russian-American actress and silent film star Alla Nazimova.
  • B. Andrey Arshavin
    Andrey Arshavin is a retired Russian attacking midfielder best known for his creative playmaking and standout performances for both Zenit Saint Petersburg and the Russian national team.
  • C. Sergei Mozyakin
    Sergei Mozyakin is a Russian professional ice hockey forward widely regarded as one of the most prolific scorers in Kontinental Hockey League (KHL) history.
  • D. Vasya Golovin
    Vasya Golovin is the young son of Ivan Ilyich in Leo Tolstoy’s novella "The Death of Ivan Ilyich," representing innocence and genuine affection amid his father’s suffering.
  • E. Denys Vlasenko
    Denys Vlasenko is a software engineer best known for his extensive work maintaining and developing the BusyBox suite of utilities commonly used in embedded Linux systems.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00950a9988190b67dfbc73b8bdbbc completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee6046a088190a9ebea7672e36b73 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.