Triple

T9055285
Position Surface form Disambiguated ID Type / Status
Subject Iranian mythology E216980 entity
Predicate hasSourceText P409 FINISHED
Object Vis o Ramin E384954 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: Vis o Ramin | Statement: [Iranian mythology, hasSourceText, Vis o Ramin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vis o Ramin
Context triple: [Iranian mythology, hasSourceText, Vis o Ramin]
  • A. Vis and Ramin chosen
    Vis and Ramin is a classic medieval Persian romantic epic, renowned as one of the earliest and most influential love stories in Persian literature.
  • B. Ramin
    Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
  • C. Tahmineh
    Tahmineh is a princess from the Persian epic Shahnameh, best known as the mother of the hero Sohrab and the beloved of the champion Rostam.
  • D. Nazarin
    Nazarin is a 1959 Spanish-Mexican drama film directed by Luis Buñuel, acclaimed for its exploration of faith, morality, and social injustice.
  • E. Zarganar
    Zarganar is a prominent Burmese comedian, actor, and dissident known for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a7488188190b3dd6bc2f2377503 completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebdb01a8819084365c9b73506a28 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.