Triple

T20241916
Position Surface form Disambiguated ID Type / Status
Subject Babylon 5 E498316 entity
Predicate mainCharacter P1183 FINISHED
Object Susan Ivanova NE NERFINISHED

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: Susan Ivanova | Statement: [Babylon 5, mainCharacter, Susan Ivanova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Ivanova
Context triple: [Babylon 5, mainCharacter, Susan Ivanova]
  • A. Natalya Ivanova
    Natalya Ivanova is a film producer known for her work on the movie "Two Women."
  • B. Valentina Serova
    Valentina Serova was the mother of renowned Russian painter Valentin Serov and a notable Russian pianist and composer in her own right.
  • C. Ivanova chosen
    Ivanova is a common Slavic surname, particularly prevalent in Russia and other Eastern European countries, typically indicating female lineage from someone named Ivan.
  • D. Helena Rozhenko
    Helena Rozhenko is a human woman in the Star Trek universe best known as the adoptive mother of the Klingon Starfleet officer Worf.
  • E. Anya Amasova
    Anya Amasova is a Soviet KGB agent and Bond girl featured in the James Bond film "The Spy Who Loved Me."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716f9d248190a145f6883827ebbe completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.