Triple

T3750109
Position Surface form Disambiguated ID Type / Status
Subject Nur-ud-din Muhammad Salim E81307 entity
Predicate child P120 FINISHED
Object Parviz Mirza E73124 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 Mirza | Statement: [Nur-ud-din Muhammad Salim, child, Parviz Mirza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parviz Mirza
Context triple: [Nur-ud-din Muhammad Salim, child, Parviz Mirza]
  • A. Parviz Mirza chosen
    Parviz Mirza was a Mughal prince of the early 17th century, known as one of Emperor Jahangir’s sons and a contender in the empire’s succession struggles.
  • B. Homayoun Ershadi
    Homayoun Ershadi is an Iranian actor best known internationally for his roles in films such as "The Kite Runner" and Abbas Kiarostami's "Taste of Cherry."
  • C. Ebrahim Afshar
    Ebrahim Afshar was a short-reigning 18th-century Persian monarch of the Afsharid dynasty who briefly succeeded Nader Shah during a turbulent period in Iran’s history.
  • D. Sattar Hashemi
    Sattar Hashemi is an Iranian professional known as a notable alumnus of Sharif University of Technology, one of Iran’s leading engineering and science institutions.
  • E. Mohammad Reza Hafezi
    Mohammad Reza Hafezi is an Iranian architect best known for designing Tehran’s landmark Milad Tower, one of the tallest towers in the world.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb6d0ac4819092c9a41cc60f518d completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db31f964819087bab143f638754f completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:35 p.m.