Triple

T20347098
Position Surface form Disambiguated ID Type / Status
Subject Blah-Blah-Blah E495899 entity
Predicate associatedPerformer P1363 FINISHED
Object Erdal Kızılçay 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: Erdal Kızılçay | Statement: [Blah-Blah-Blah, associatedPerformer, Erdal Kızılçay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erdal Kızılçay
Context triple: [Blah-Blah-Blah, associatedPerformer, Erdal Kızılçay]
  • A. Erdal Kızılçay chosen
    Erdal Kızılçay is a Turkish multi-instrumentalist and composer best known for his extensive collaborations with David Bowie during the 1980s and 1990s.
  • B. Ekrem Akurgal
    Ekrem Akurgal was a prominent Turkish archaeologist and historian known for his influential research on the ancient civilizations of Anatolia and the Aegean.
  • C. Erdağ Göknar
    Erdağ Göknar is a Turkish-American scholar and translator best known for his acclaimed English translations of major Turkish literary works, including novels by Orhan Pamuk and other modern Turkish authors.
  • D. Tahsin Banguoğlu
    Tahsin Banguoğlu was a Turkish linguist, academic, and politician known for his influential work on Turkish language and grammar.
  • E. Levent Öktem
    Levent Öktem is a Turkish actor known for his roles in television dramas and films, including the historical series "Diriliş: Ertuğrul."
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67839e7b48190876ce7133a20c65b completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.