Triple

T13178474
Position Surface form Disambiguated ID Type / Status
Subject Nâzim Hikmet E313661 entity
Predicate givenName P17 FINISHED
Object Nâzim E316798 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: Nâzim | Statement: [Nâzim Hikmet, givenName, Nâzim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nâzim
Context triple: [Nâzim Hikmet, givenName, Nâzim]
  • A. Nâzim chosen
    Nâzim is the given name of Nâzim Hikmet, a renowned Turkish poet, playwright, and novelist known for his revolutionary and modernist works.
  • B. Awad Ali Hamza
    Awad Ali Hamza is a Libyan political figure who served on the Revolutionary Command Council that ruled Libya following the 1969 coup led by Muammar Gaddafi.
  • C. Awad Hamed al-Bandar
    Awad Hamed al-Bandar was an Iraqi judge and former head of the Revolutionary Court who was convicted and executed for his role in the 1982 Dujail massacre under Saddam Hussein’s regime.
  • D. Mukhtasar Khalil
    Mukhtasar Khalil is a seminal concise manual of Maliki Islamic jurisprudence that became one of the most authoritative and widely studied legal texts in the Maliki school.
  • E. Diyarb Negm
    Diyarb Negm is a town in Egypt known as one of the urban centers within the country's Sharqia Governorate in the Nile Delta region.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c47e79c81908031d3e6f1cfd64f completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716c1080c81908057f92f320a855b completed May 3, 2026, 9:34 a.m.
Created at: April 9, 2026, 9:14 p.m.