Triple

T17942035
Position Surface form Disambiguated ID Type / Status
Subject İbrahim Şinasi E448609 entity
Predicate givenName P17 FINISHED
Object İbrahim 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: İbrahim | Statement: [İbrahim Şinasi, givenName, İbrahim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: İbrahim
Context triple: [İbrahim Şinasi, givenName, İbrahim]
  • A. Ibrahim chosen
    Ibrahim is the name used in Islamic tradition for the prophet Abraham, a central patriarchal figure revered in Judaism, Christianity, and Islam.
  • B. Ibrahim
    Ibrahim was a son of Orhan Gazi, the second ruler of the early Ottoman state.
  • C. Mustafa
    Mustafa is a common male given name of Arabic origin, widely used across the Muslim world and often associated with the Prophet Muhammad as an honorific meaning "the chosen one."
  • D. Mustafa
    Mustafa is a minor character in Pixar's animated film "Ratatouille," serving as the head waiter at Gusteau’s famed Parisian restaurant.
  • E. Mustafa
    Mustafa is the given birth name of Mustafa Kemal Atatürk, the founder and first president of the Republic of Turkey.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad96a9008190867fac99588c43cf completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.