Triple

T15875994
Position Surface form Disambiguated ID Type / Status
Subject Vis and Ramin E384954 entity
Predicate hasMainCharacter P1183 FINISHED
Object Ramin E11822 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: Ramin | Statement: [Vis and Ramin, hasMainCharacter, Ramin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramin
Context triple: [Vis and Ramin, hasMainCharacter, Ramin]
  • A. Ramin chosen
    Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
  • B. Soroush
    Soroush is the surname of Abdolkarim Soroush, a prominent Iranian philosopher and religious intellectual known for his influential work on Islamic thought and political theory.
  • C. Reza
    Reza is the given name of Reza Shah Pahlavi, the founder of the Pahlavi dynasty and modernizing monarch of Iran in the early 20th century.
  • D. Parviz
    Parviz is a masculine given name of Persian origin commonly used in Iran and among Persian-speaking communities.
  • E. Karimi
    Karimi is a Persian-origin surname commonly found in Iran, Afghanistan, and other parts of the Middle East and Central Asia.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fdc1b881909d1c82c4c66a195a completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa94e9b548190bec74e6d9790d241 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.