Triple

T21685836
Position Surface form Disambiguated ID Type / Status
Subject Tajik culture E535226 entity
Predicate classicalPoet P10575 FINISHED
Object Saadi 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: Saadi | Statement: [Tajik culture, classicalPoet, Saadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saadi
Context triple: [Tajik culture, classicalPoet, Saadi]
  • A. Saadi chosen
    Saadi was a renowned 13th-century Persian poet and prose writer best known for his moralistic and philosophical works such as "Bustan" and "Gulistan."
  • B. Hafez
    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.
  • C. Hakim Sanai
    Hakim Sanai was a 12th-century Persian Sufi poet and mystic, best known for his influential didactic masterpiece that helped shape the course of Islamic mystical literature.
  • D. Al-Mutanabbi
    Al-Mutanabbi was a renowned 10th-century Arab poet celebrated for his eloquent, powerful verse and lasting influence on classical Arabic literature.
  • E. Farid Shawqi
    Farid Shawqi was a prominent Egyptian actor, screenwriter, and producer renowned for his tough-guy roles and major influence on mid-20th-century Egyptian cinema.
  • 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.