Triple

T21301662
Position Surface form Disambiguated ID Type / Status
Subject Behrouz Vossoughi E525078 entity
Predicate notableRole P22 FINISHED
Object Qeysar in "Qeysar" 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: Qeysar in "Qeysar" | Statement: [Behrouz Vossoughi, notableRole, Qeysar in "Qeysar"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qeysar in "Qeysar"
Context triple: [Behrouz Vossoughi, notableRole, Qeysar in "Qeysar"]
  • A. Qeysar chosen
    Qeysar is a landmark 1969 Iranian film directed by Masoud Kimiai that helped launch the Iranian New Wave with its gritty tale of revenge and social injustice.
  • B. Qey Shibir
    Qey Shibir is the name given to the brutal campaign of political repression and mass killings carried out in Ethiopia during the Red Terror of the late 1970s.
  • C. Al-Qahhar (The Subduer)
    Al-Qahhar (The Subduer) is one of the names of God in Islam, signifying His absolute power to dominate, overcome, and subdue all creation and falsehood.
  • D. Al-Kisāʾī
    Al-Kisāʾī was a prominent early Arabic grammarian and Qurʾān reciter, renowned as one of the leading scholars of the Kufan linguistic tradition.
  • E. El Quseyya
    El Quseyya is a city in Upper Egypt situated along the Nile within the Asyut Governorate.
  • 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_69e7385cd6308190bf300494833b048f completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.