Triple

T5279824
Position Surface form Disambiguated ID Type / Status
Subject Persia E119466 entity
Predicate notablePoet P10575 FINISHED
Object Hafez 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: Hafez | Statement: [Persia, notablePoet, Hafez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hafez
Context triple: [Persia, notablePoet, Hafez]
  • 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. 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.
  • D. 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").
  • E. Nizami Ganjavi
    Nizami Ganjavi was a 12th-century Persian poet renowned for his romantic epic masterpieces, especially the Khamsa (Quintet), which profoundly influenced Persian and wider Islamic literature.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c409248190a0154a660f58e096 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06dd56a08190a7cfef614e5990f4 completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:52 p.m.