Triple

T22459641
Position Surface form Disambiguated ID Type / Status
Subject F. Springer E555195 entity
Predicate notableWork P4 FINISHED
Object Teheran, een zwanezang NE NERFINISHED

How this triple was built (3 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: Teheran, een zwanezang | Statement: [F. Springer, notableWork, Teheran, een zwanezang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teheran, een zwanezang
Context triple: [F. Springer, notableWork, Teheran, een zwanezang]
  • A. Teheran 43
    Teheran 43 is a 1981 Soviet-French thriller film about an assassination plot against Allied leaders during the 1943 Tehran Conference in World War II.
  • B. Teheran-ro
    Teheran-ro is a major business and technology corridor in Seoul, South Korea, known for its concentration of corporate headquarters, startups, and high-rise office buildings.
  • C. Tehran (TV series)
    Tehran is an Israeli espionage thriller television series that follows a Mossad hacker-agent on a dangerous undercover mission in the Iranian capital.
  • D. From Tehran to Heaven
    From Tehran to Heaven is an Iranian film featuring acclaimed actress Leila Hatami in a prominent role.
  • E. Tehrani
    Tehrani is a Persian surname most notably associated with Iranian actress Hedieh Tehrani.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teheran, een zwanezang
Target entity description: Teheran, een zwanezang is a semi-autobiographical novel by Dutch writer F. Springer, set against the backdrop of pre-revolutionary Iran and known for its ironic, melancholic portrayal of diplomatic life abroad.
  • A. Teheran 43
    Teheran 43 is a 1981 Soviet-French thriller film about an assassination plot against Allied leaders during the 1943 Tehran Conference in World War II.
  • B. Teheran-ro
    Teheran-ro is a major business and technology corridor in Seoul, South Korea, known for its concentration of corporate headquarters, startups, and high-rise office buildings.
  • C. Tehran (TV series)
    Tehran is an Israeli espionage thriller television series that follows a Mossad hacker-agent on a dangerous undercover mission in the Iranian capital.
  • D. From Tehran to Heaven
    From Tehran to Heaven is an Iranian film featuring acclaimed actress Leila Hatami in a prominent role.
  • E. Tehrani
    Tehrani is a Persian surname most notably associated with Iranian actress Hedieh Tehrani.
  • F. None of above. chosen

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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7e01fc8190825c3dc024484440 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.