Triple

T4099545
Position Surface form Disambiguated ID Type / Status
Subject Dinarzad E87905 entity
Predicate associatedWith P37 FINISHED
Object King Shahryar E86498 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: King Shahryar | Statement: [Dinarzad, associatedWith, King Shahryar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Shahryar
Context triple: [Dinarzad, associatedWith, King Shahryar]
  • A. King Shahryar chosen
    King Shahryar is the legendary Persian monarch in The Arabian Nights whose practice of marrying and executing a new bride each day is ultimately transformed by Scheherazade’s storytelling.
  • B. Shahryar Mirza
    Shahryar Mirza was a Mughal prince and briefly a claimant to the Mughal throne during the turbulent succession struggles following Emperor Jahangir’s death.
  • C. Shah
    Shah is a royal title historically used for monarchs and rulers in Persia (Iran) and other regions of the Islamic world.
  • D. Al-Malik
    Al-Malik is one of the names of Allah in Islam, signifying Him as the absolute Sovereign and King over all creation.
  • E. Khosrow and Shirin
    Khosrow and Shirin is a classic romantic epic poem by the Persian poet Nizami Ganjavi, recounting the legendary love story between the Sasanian king Khosrow II and the Armenian princess Shirin.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0d9c508190b8aedf83f3310513 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7585bc81909dc2c02e60a55def completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.