Triple

T9925876
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Intelligence of Iran E187919 entity
Predicate predecessor P97 FINISHED
Object SAVAK E116617 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: SAVAK | Statement: [Ministry of Intelligence of Iran, predecessor, SAVAK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAVAK
Context triple: [Ministry of Intelligence of Iran, predecessor, SAVAK]
  • A. SAVAK chosen
    SAVAK was the notorious secret police and intelligence organization of Iran under Shah Mohammad Reza Pahlavi, known for its widespread surveillance, repression, and human rights abuses.
  • B. Docharkheh Savaran
    Docharkheh Savaran was the original name of the Iranian football club now known as Esteghlal F.C., one of Iran’s most successful and popular teams.
  • C. Sayfo
    Sayfo is the term used by Assyrians to refer to the World War I–era genocide in which large numbers of Assyrian Christians were massacred in the Ottoman Empire.
  • D. Sarfarosh
    Sarfarosh is a 1999 Indian Hindi-language action drama film acclaimed for its gritty portrayal of cross-border terrorism and for featuring Aamir Khan in a powerful lead role as an honest police officer.
  • E. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb599e32c8190ac676fa89c131bb6 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e143660819097a9fa96365bc25a completed April 5, 2026, 7:24 a.m.
Created at: March 30, 2026, 8:43 p.m.