Triple

T4099539
Position Surface form Disambiguated ID Type / Status
Subject Dinarzad E87905 entity
Predicate relative P37 FINISHED
Object Shahrazad E14213 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: Shahrazad | Statement: [Dinarzad, relative, Shahrazad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahrazad
Context triple: [Dinarzad, relative, Shahrazad]
  • A. The Arabian Nights chosen
    The Arabian Nights is a classic collection of Middle Eastern folk tales framed by the story of Scheherazade, whose imaginative storytelling each night postpones her execution by a king.
  • B. The Riddle of Scheherazade
    The Riddle of Scheherazade is a puzzle book by logician Raymond Smullyan that presents logic problems and paradoxes framed within the tales of the Arabian Nights.
  • C. Khosrow and Shirin
    Khosrow and Shirin is a classic romantic epic poem by the Persian poet Nizami Ganjavi, recounting the legendary love story between the Sasanian king Khosrow II and the Armenian princess Shirin.
  • D. La reine de Saba
    La reine de Saba is a 19th-century French grand opera by Charles Gounod, inspired by the biblical legend of the Queen of Sheba and noted for its exotic atmosphere and lyrical richness.
  • E. Al-Kisāʾī
    Al-Kisāʾī was a prominent early Arabic grammarian and Qurʾān reciter, renowned as one of the leading scholars of the Kufan linguistic tradition.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0d9c508190b8aedf83f3310513 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7585bc81909dc2c02e60a55def completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.