Triple

T15586121
Position Surface form Disambiguated ID Type / Status
Subject Shahzada Parviz Mirza E374625 entity
Predicate givenName P17 FINISHED
Object Parviz E748868 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: Parviz | Statement: [Shahzada Parviz Mirza, givenName, Parviz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parviz
Context triple: [Shahzada Parviz Mirza, givenName, Parviz]
  • A. Parviz chosen
    Parviz is a masculine given name of Persian origin commonly used in Iran and among Persian-speaking communities.
  • B. Fariborz
    Fariborz is a Persian given name commonly used for men, particularly in Iran and among the Iranian diaspora.
  • C. Rūzbeh
    Rūzbeh was the original Persian name of Ibn al-Muqaffaʿ, the influential 8th-century translator and prose stylist who helped shape early Arabic literature.
  • D. Abolhassan
    Abolhassan is a Persian given name most notably borne by Abolhassan Banisadr, the first President of the Islamic Republic of Iran.
  • E. Sarrafati
    Sarrafati is a surname of likely Middle Eastern or Mediterranean origin, used as a variant form of the name Sarfati.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4900408190aadb48b001db4169 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c5166d88190ab14c7779e3e8e1f completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.