Triple

T13839129
Position Surface form Disambiguated ID Type / Status
Subject BH90210 E332604 entity
Predicate featuresCastMember P7010 FINISHED
Object Ivan Sergei 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: Ivan Sergei | Statement: [BH90210, featuresCastMember, Ivan Sergei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivan Sergei
Context triple: [BH90210, featuresCastMember, Ivan Sergei]
  • A. Ivan Sergei chosen
    Ivan Sergei is an American actor known for his work in film and television, including prominent roles in late-1990s and early-2000s romantic comedies and dramas.
  • B. Ivan Yakovlev
    Ivan Yakovlev was the father of the prominent Russian writer and thinker Alexander Herzen, known for his influence on 19th-century Russian intellectual life.
  • C. Ivan Yakovlev
    Ivan Yakovlev was a Russian figure of sufficient prominence or public significance to be interred at Moscow’s notable Kuntsevo Cemetery.
  • D. Ivan Petrov
    Ivan Petrov was a Soviet military commander and general who played a significant role in Red Army operations during World War II.
  • E. Ivan Silayev
    Ivan Silayev was a Soviet and Russian statesman who served as a key reform-era leader during the final years of the Soviet Union and later in post-Soviet Russian politics.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ac6b7c81908d44632d6d628339 completed April 14, 2026, 9:02 a.m.
Created at: April 9, 2026, 10:13 p.m.