Triple

T12316864
Position Surface form Disambiguated ID Type / Status
Subject Anar Mammadli E293623 entity
Predicate knownAs P39 FINISHED
Object Anar Məmmədli E293623 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: Anar Məmmədli | Statement: [Anar Mammadli, knownAs, Anar Məmmədli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anar Məmmədli
Context triple: [Anar Mammadli, knownAs, Anar Məmmədli]
  • A. Anar Mammadli chosen
    Anar Mammadli is an Azerbaijani human rights activist and election monitor known for his work on democratic reforms and civil society development in Azerbaijan.
  • B. Ali Bayramli
    Ali Bayramli is a city in Azerbaijan situated along the Kura River and known today as Shirvan.
  • C. Mammad Amin Rasulzade
    Mammad Amin Rasulzade was an Azerbaijani statesman, public figure, and leading founder of modern Azerbaijani nationalism who played a key role in establishing Azerbaijan’s independence in 1918.
  • D. Yusif Eyvazov
    Yusif Eyvazov is an Azerbaijani dramatic tenor known for his performances on major international opera stages and frequent collaborations with his wife, soprano Anna Netrebko.
  • E. Yusif Mammadaliyev
    Yusif Mammadaliyev was a prominent Azerbaijani chemist and academician known for his significant contributions to petrochemical research and the development of the oil industry in Azerbaijan.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f05186481909c024a933b4f6c60 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e88a1348190a04c21b24e1ba2b5 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.