Triple

T22902058
Position Surface form Disambiguated ID Type / Status
Subject Jafar al-Askari E568344 entity
Predicate givenName P17 FINISHED
Object Jafar NE NERFINISHED

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: Jafar | Statement: [Jafar al-Askari, givenName, Jafar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jafar
Context triple: [Jafar al-Askari, givenName, Jafar]
  • A. Jafar
    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. Jafar Vali
    Jafar Vali was an Iranian actor best known for his role in the influential 1969 film "The Cow," a landmark of Iranian New Wave cinema.
  • C. Jaafar chosen
    Jaafar is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
  • D. Sultan of Agrabah
    The Sultan of Agrabah is the kind-hearted but naive ruler of the fictional desert kingdom in Disney's Aladdin series and Princess Jasmine's father.
  • E. Jafar from One Thousand and One Nights (in name only)
    Jafar from One Thousand and One Nights (in name only) is a character whose name is borrowed from the vizier figure in the classic Middle Eastern folk tales but who otherwise differs significantly in portrayal or role from the original literary character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18016d8e481908fc47d003156b800 completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.