Triple

T15895289
Position Surface form Disambiguated ID Type / Status
Subject A Mind at Peace E385437 entity
Predicate majorCharacter P12208 FINISHED
Object Nuran E1182890 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: Nuran | Statement: [A Mind at Peace, majorCharacter, Nuran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuran
Context triple: [A Mind at Peace, majorCharacter, Nuran]
  • A. Nuran chosen
    Nuran is a central fictional character in the Turkish novel "Huzur" by Ahmet Hamdi Tanpınar, known for her complex emotional depth and pivotal role in the story’s exploration of love and inner turmoil.
  • B. Núr
    Núr is the second month of the Badíʻ (Baháʼí) calendar, whose name means “Light” in Arabic.
  • C. Nesuhi
    Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
  • D. Nurata
    Nurata is a historic town in central Uzbekistan known for its ancient fortress, sacred spring, and role as a gateway to the Nuratau Mountains.
  • E. Neuli
    Neuli is a small village located in the scenic Sainj Valley of Himachal Pradesh, India, known for its tranquil rural setting amid the Himalayas.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15638f5bc81908de13f4b6a52b60c completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a1b1548190a8579cebf9e71121 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:51 a.m.