Triple

T10655023
Position Surface form Disambiguated ID Type / Status
Subject Mehmet Ali Ağca E251065 entity
Predicate givenName P17 FINISHED
Object Mehmet Ali E230556 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: Mehmet Ali | Statement: [Mehmet Ali Ağca, givenName, Mehmet Ali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mehmet Ali
Context triple: [Mehmet Ali Ağca, givenName, Mehmet Ali]
  • A. Yusuf Lule
    Yusuf Lule was a Ugandan academic and politician who briefly served as President of Uganda in 1979 following the overthrow of Idi Amin.
  • B. Mehmet chosen
    Mehmet is a common Turkish male given name of Arabic origin, widely used across Turkey and among Turkish communities.
  • C. Mehmet Ragif
    Mehmet Ragif is the birth name of Mehmet Akif Ersoy, the renowned Turkish poet, writer, and author of the Turkish National Anthem.
  • D. Ahmet
    Ahmet is a common male given name of Arabic origin, widely used in Turkey and other Muslim-majority countries as a variant of Ahmed.
  • E. Mehmet Ali Birand
    Mehmet Ali Birand was a prominent Turkish journalist, television presenter, and political commentator known for his influential coverage of Turkish politics and international affairs.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dff94c188190b1a822c3720d18b7 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a71fac48190a6d7c99ebc5aad0a completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:06 p.m.