Triple

T614652
Position Surface form Disambiguated ID Type / Status
Subject Ramin Djawadi E12176 entity
Predicate givenName P17 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: [Ramin Djawadi, givenName, Ramin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramin
Context triple: [Ramin Djawadi, givenName, Ramin]
  • A. Ramin chosen
    Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
  • B. Amini
    Amini is a small inhabited coral island in India’s Lakshadweep archipelago, known for its coconut cultivation, coir products, and traditional craftsmanship.
  • C. Ramin Rahimi
    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.
  • D. Arash Ferdowsi
    Arash Ferdowsi is an American entrepreneur and computer scientist best known as the co-founder and former CTO of the cloud storage company Dropbox.
  • E. Ramin Golestanian
    Ramin Golestanian is an Iranian-German physicist known for his pioneering work in soft matter and active matter physics, particularly in the theory of microswimmers and nonequilibrium systems.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e0a0f588190b953fdb585263307 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a55a7561dc81908e2e2516c63c18a7 completed March 2, 2026, 9:37 a.m.
Created at: March 1, 2026, 7:35 p.m.