Triple

T22438310
Position Surface form Disambiguated ID Type / Status
Subject Mihr-Mihroe E554685 entity
Predicate knownAs P39 FINISHED
Object Mihr-Mihrui 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: Mihr-Mihrui | Statement: [Mihr-Mihroe, knownAs, Mihr-Mihrui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mihr-Mihrui
Context triple: [Mihr-Mihroe, knownAs, Mihr-Mihrui]
  • A. Mihr-Mihroe chosen
    Mihr-Mihroe was a prominent 6th-century Sasanian general known for leading Persian forces against the Byzantine Empire during the Iberian War.
  • B. Khirsu
    Khirsu is a small scenic hill town in Uttarakhand, India, known for its tranquil environment and panoramic views of the Himalayan peaks.
  • C. Khosrovidukht
    Khosrovidukht was an early Armenian noblewoman and hymnographer traditionally credited with composing one of the oldest known Armenian Christian hymns and contributing to the spread of Christianity in Armenia.
  • D. Khusrav
    Khusrav is a masculine given name of Persian origin, historically borne by princes and notable figures in Central and South Asia.
  • E. Imara
    Imara is a small settlement located within Salme municipality in Saare County, Estonia.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae01bd08190aee5141f4c0848bc completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.