Triple

T21685690
Position Surface form Disambiguated ID Type / Status
Subject Zal-e Zar E535222 entity
Predicate spouse P13 FINISHED
Object Rudabeh NE NERFINISHED

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: Rudabeh | Statement: [Zal-e Zar, spouse, Rudabeh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudabeh
Context triple: [Zal-e Zar, spouse, Rudabeh]
  • A. Rudabeh chosen
    Rudabeh is a legendary Persian princess and queen in the Shahnameh, renowned for her beauty, wisdom, and as the mother of the hero Rostam.
  • B. Sudabeh
    Sudabeh is a prominent figure in the Persian epic Shahnameh, known as the queen whose tragic and deceitful actions play a key role in the downfall of Prince Siyavash.
  • C. Rudbar
    Rudbar is a city in northern Iran known for its olive production and location within the mountainous Gilan Province.
  • D. Hafezieh
    Hafezieh is a famous mausoleum and cultural site in Shiraz, Iran, dedicated to the revered Persian poet Hafez and known for its beautiful gardens and traditional architecture.
  • E. Delaram
    Delaram is a town in southwestern Afghanistan that serves as a key transport hub linking major highways, including routes toward Iran and central Afghanistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cb69f081908ed0c7ebea429898 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.