Triple

T14213045
Position Surface form Disambiguated ID Type / Status
Subject Angband E352277 entity
Predicate hasMember P10 FINISHED
Object Ramin Rahimi E71028 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 Rahimi | Statement: [Angband, hasMember, Ramin Rahimi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramin Rahimi
Context triple: [Angband, hasMember, Ramin Rahimi]
  • A. Ramin Rahimi chosen
    Ramin Rahimi is an Iranian musician and composer best known as the drummer of the metal band Angband and for his work blending traditional Persian music with contemporary styles.
  • B. Ramin Kousha
    Ramin Kousha is a film composer best known for scoring the cult disaster movie "Sharknado."
  • C. Ramin Toloui
    Ramin Toloui is an American economist and former global co-head of emerging markets at PIMCO who has served in senior international economic policy roles in the U.S. government.
  • D. Ramin Mazaheri
    Ramin Mazaheri is an Iranian journalist and political analyst known for his reporting and commentary on international affairs and socio-political issues.
  • E. Hossein Fardoust
    Hossein Fardoust was a high-ranking Iranian intelligence official and close confidant of Shah Mohammad Reza Pahlavi who played a key role in the country’s security apparatus before the 1979 Iranian Revolution.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620f07bc81909212dcd1c91b5f95 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280e56e0819097e2aa2b28f19257 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:06 a.m.