Triple

T20932180
Position Surface form Disambiguated ID Type / Status
Subject The Salesman E515496 entity
Predicate musicBy P1952 FINISHED
Object Sattar Oraki 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: Sattar Oraki | Statement: [The Salesman, musicBy, Sattar Oraki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sattar Oraki
Context triple: [The Salesman, musicBy, Sattar Oraki]
  • A. Sattar Oraki chosen
    Sattar Oraki is an Iranian film composer best known for his acclaimed scores for contemporary Iranian cinema, including Asghar Farhadi’s award-winning dramas.
  • B. Askar Mamin
    Askar Mamin is a Kazakh politician who has served in several top government roles, including Prime Minister of Kazakhstan.
  • C. Mintimer Shaimiev
    Mintimer Shaimiev is a Russian Tatar statesman who served as the first President of the Republic of Tatarstan and played a key role in negotiating its autonomous status within the Russian Federation.
  • D. Sadriddin Ayni
    Sadriddin Ayni was a prominent Tajik and Soviet writer, intellectual, and national figure regarded as the founder of modern Tajik literature.
  • E. Gabdulla Tuqay
    Gabdulla Tuqay was a seminal Tatar poet and publicist whose works helped shape modern Tatar literature and national identity in the early 20th century.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f65681b4819083c7ef6b44ba4bdb completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:49 p.m.