Triple

T18562680
Position Surface form Disambiguated ID Type / Status
Subject Yusuf Akçura E453684 entity
Predicate givenName P17 FINISHED
Object Yusuf 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: Yusuf | Statement: [Yusuf Akçura, givenName, Yusuf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yusuf
Context triple: [Yusuf Akçura, givenName, Yusuf]
  • A. Yusuf
    Yusuf is a skilled chemist and dream architect in the film "Inception," responsible for creating the powerful sedatives used in shared dreaming heists.
  • B. Yusuf chosen
    Yusuf is a common male given name of Arabic origin, widely used in Muslim communities and equivalent to the name Joseph.
  • C. Yusuf
    Yusuf is a revered prophet in Islamic tradition, known for his exemplary patience, prophetic dreams, and the Qur’anic narrative of his trials and rise to power in Egypt.
  • D. Yasin
    Yasin is a central character in Naguib Mahfouz's novel "Palace of Desire," known as the pleasure-seeking, impulsive son of the patriarch al-Sayyid Ahmad Abd al-Jawad.
  • E. Yasin
    Yasin is a remote mountainous valley and settlement in northern Pakistan, known for its scenic landscapes, traditional villages, and strategic location within the broader Ghizer region of Gilgit-Baltistan.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53afb4f088190adf0b2b64057a210 completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:42 a.m.