Triple

T3728533
Position Surface form Disambiguated ID Type / Status
Subject Yunus Emre E79006 entity
Predicate givenName P17 FINISHED
Object Yunus E109128 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: Yunus | Statement: [Yunus Emre, givenName, Yunus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yunus
Context triple: [Yunus Emre, givenName, Yunus]
  • A. Yunus chosen
    Yunus is the Arabic form of the name Jonas, commonly associated with the prophet Jonah in Islamic tradition.
  • B. Muhammad Yunus
    Muhammad Yunus is a Bangladeshi economist and social entrepreneur, best known as the pioneer of microcredit and founder of Grameen Bank, for which he received the Nobel Peace Prize.
  • C. Abdul Latif Jameel
    Abdul Latif Jameel is a Saudi Arabia–based diversified business group and philanthropic organization known for its major investments in automotive, real estate, energy, and its support for global poverty alleviation and development initiatives.
  • D. Yunus ibn Habib
    Yunus ibn Habib was an early and influential Arab grammarian and linguist associated with the formative period of classical Arabic grammar.
  • E. Yunus Khan
    Yunus Khan was a 15th-century Moghul khan of Moghulistan and the maternal grandfather of the Mughal emperor Babur.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf921bc81908bb347d6b9204670 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db13d34881909fa74c682184b797 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:34 p.m.