Triple

T5435305
Position Surface form Disambiguated ID Type / Status
Subject National Front of Iran E121992 entity
Predicate notableMember P10 FINISHED
Object Karim Sanjabi E519448 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: Karim Sanjabi | Statement: [National Front of Iran, notableMember, Karim Sanjabi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karim Sanjabi
Context triple: [National Front of Iran, notableMember, Karim Sanjabi]
  • A. Karim Sanjabi chosen
    Karim Sanjabi was an influential Iranian nationalist politician, lawyer, and academic who became a leading figure of the National Front and a prominent opponent of the Pahlavi monarchy.
  • B. Karim Khalili
    Karim Khalili is an Afghan politician and former vice president who served as a prominent Hazara leader and key figure in the anti-Taliban resistance.
  • C. Amir Mokri
    Amir Mokri is an Iranian-American cinematographer known for his dynamic, high-energy visual style on major action and blockbuster films such as "Man of Steel," "Transformers: Dark of the Moon," and "Fast & Furious."
  • D. Zekeria Ebrahimi
    Zekeria Ebrahimi is an Afghan actor best known for his role as the young Amir in the film adaptation of "The Kite Runner."
  • E. Mahyar Abousaeedi
    Mahyar Abousaeedi is a cinematographer best known for his work on the Pixar animated film "Turning Red."
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91b099488190b4c5f1cea3f45d57 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41284998819096667ae70180e067 completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 2:06 p.m.