Triple

T5630018
Position Surface form Disambiguated ID Type / Status
Subject Jami E147807 entity
Predicate influencedBy P9 FINISHED
Object Hāfez E22782 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: Hāfez | Statement: [Jami, influencedBy, Hāfez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hāfez
Context triple: [Jami, influencedBy, Hāfez]
  • A. Hafez chosen
    Hafez was a 14th-century Persian lyric poet renowned for his ghazals, which explore themes of love, mysticism, and the divine, and remain central to Persian literature and culture.
  • B. Saadi
    Saadi was a renowned 13th-century Persian poet and prose writer best known for his moralistic and philosophical works such as "Bustan" and "Gulistan."
  • C. Ahmad Shamlu
    Ahmad Shamlu was a prominent 20th-century Iranian poet, writer, and translator, renowned for his influential free-verse poetry and major contributions to modern Persian literature.
  • D. Mir Ali Tabrizi
    Mir Ali Tabrizi was a renowned 14th-century Persian calligrapher credited with pioneering the elegant Nastaʿlīq script that became the classical style of Persian writing.
  • E. Nezami Aruzi
    Nezami Aruzi was a 12th-century Persian poet, prose writer, and scholar best known for his influential literary anthology "Chahar Maqala" ("Four Discourses").
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0223c722481908bc3684825b3977a completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a14696fc819084b668a105118ac2 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:40 p.m.