Triple

T15876069
Position Surface form Disambiguated ID Type / Status
Subject Khosrow and Shirin E384955 entity
Predicate relatedWork P37 FINISHED
Object Haft Paykar E625403 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: Haft Paykar | Statement: [Khosrow and Shirin, relatedWork, Haft Paykar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haft Paykar
Context triple: [Khosrow and Shirin, relatedWork, Haft Paykar]
  • A. Haft Paykar chosen
    Haft Paykar is a 12th-century romantic and allegorical epic poem by Nizami Ganjavi, renowned for its intricate narrative structure and rich symbolism centered on the Sasanian king Bahram Gur.
  • B. Shahid Haghani
    Shahid Haghani was an Iranian figure commemorated as a martyr, after whom the Shahid Haghani Metro Station in Tehran is named.
  • C. Mirza Ghasemi
    Mirza Ghasemi is a popular smoky eggplant and tomato dish from northern Iran, especially associated with the cuisine of Gilan Province by the Caspian Sea.
  • D. Ramazan Bashardost
    Ramazan Bashardost is an Afghan politician and former planning minister known for his anti-corruption stance and populist, reformist campaigns for the presidency.
  • E. Mohammad Reza Isfahani
    Mohammad Reza Isfahani was a prominent Safavid-era Iranian architect best known for designing masterpieces of Isfahan’s royal square, including the celebrated Sheikh Lotfollah Mosque.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fdc1b881909d1c82c4c66a195a completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa94e9b548190bec74e6d9790d241 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.