Triple

T21293106
Position Surface form Disambiguated ID Type / Status
Subject Ezzatolah Entezami E524846 entity
Predicate name P16 FINISHED
Object Ezzatolah Entezami 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: Ezzatolah Entezami | Statement: [Ezzatolah Entezami, name, Ezzatolah Entezami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ezzatolah Entezami
Context triple: [Ezzatolah Entezami, name, Ezzatolah Entezami]
  • A. Ezzatolah Entezami chosen
    Ezzatolah Entezami was a highly acclaimed Iranian film and stage actor, widely regarded as one of the most influential and respected figures in the history of Iranian cinema.
  • B. Soleiman Mohsen Eskandari
    Soleiman Mohsen Eskandari was an Iranian politician and activist best known as a pioneering figure of the country’s leftist movement and a founder of the Tudeh Party of Iran.
  • C. Mohsen Rezaee
    Mohsen Rezaee is an Iranian politician and former senior military commander who served as the long-time chief of the Islamic Revolutionary Guard Corps during the Iran–Iraq War.
  • D. Parviz Malekzadeh
    Parviz Malekzadeh is an Iranian cinematographer best known for his work on the acclaimed film "Children of Heaven."
  • E. Mohsen Foroughi
    Mohsen Foroughi was a prominent Iranian architect known for designing significant public and institutional buildings in 20th-century Iran.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73855e5d08190aed5e285247b4e23 completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.