Triple

T10468775
Position Surface form Disambiguated ID Type / Status
Subject Jafar E246870 entity
Predicate occupation P3 FINISHED
Object Royal Vizier of Agrabah E246870 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: Royal Vizier of Agrabah | Statement: [Jafar, occupation, Royal Vizier of Agrabah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Vizier of Agrabah
Context triple: [Jafar, occupation, Royal Vizier of Agrabah]
  • A. Jafar chosen
    Jafar is the primary villain and power-hungry sorcerer from Disney’s Aladdin franchise, known for his scheming ambition to seize control of Agrabah.
  • B. Grand Vizier
    The Grand Vizier was the highest-ranking minister and chief executive officer of the Ottoman Empire, wielding extensive administrative and political authority directly under the sultan.
  • C. Jaafar
    Jaafar is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
  • D. Jaffar
    Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
  • E. Ali Baba
    Ali Baba is a poor woodcutter in the folk tale "Ali Baba and the Forty Thieves," best known for discovering a thieves’ treasure cave that opens with the magic phrase "Open Sesame."
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092ef810819093a4d1df83aeac09 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ff1cd948190a1ef331fb810bf26 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.