Triple

T22371043
Position Surface form Disambiguated ID Type / Status
Subject Gabdulla Tuqay E553039 entity
Predicate name P16 FINISHED
Object Gabdulla Tuqay 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: Gabdulla Tuqay | Statement: [Gabdulla Tuqay, name, Gabdulla Tuqay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabdulla Tuqay
Context triple: [Gabdulla Tuqay, name, Gabdulla Tuqay]
  • A. Gabdulla Tuqay chosen
    Gabdulla Tuqay was a seminal Tatar poet and publicist whose works helped shape modern Tatar literature and national identity in the early 20th century.
  • B. Sadriddin Ayni
    Sadriddin Ayni was a prominent Tajik and Soviet writer, intellectual, and national figure regarded as the founder of modern Tajik literature.
  • C. Emir Shakib Arslan
    Emir Shakib Arslan was a prominent early 20th-century Druze Lebanese intellectual, politician, and pan-Islamic, pan-Arab nationalist thinker known as the "Prince of Eloquence."
  • D. Sattar Oraki
    Sattar Oraki is an Iranian film composer best known for his acclaimed scores for contemporary Iranian cinema, including Asghar Farhadi’s award-winning dramas.
  • E. Qahhor Mahkamov
    Qahhor Mahkamov was a Soviet-era Tajik politician who became the first president of Tajikistan during the final years of the USSR.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15803e7208190ba14c91fb90e15ca completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.