Triple

T22187973
Position Surface form Disambiguated ID Type / Status
Subject Ibrahim ibn al-Aghlab E548343 entity
Predicate title P38 FINISHED
Object Amir 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: Amir | Statement: [Ibrahim ibn al-Aghlab, title, Amir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amir
Context triple: [Ibrahim ibn al-Aghlab, title, Amir]
  • A. Amir chosen
    Amir is a noble and military title historically used across the Islamic world, often denoting a commander, prince, or high-ranking leader.
  • B. Amir
    Amir is the conflicted Afghan protagonist of "The Kite Runner," whose journey is defined by childhood betrayal, guilt, and a quest for redemption.
  • C. Sohrab
    Sohrab is a tragic hero in the Persian epic Shahnameh, famed as the valiant but ill-fated son of the champion Rostam.
  • D. Ali (The Kite Runner character)
    Ali is a humble, loyal Hazara servant and childhood caretaker in The Kite Runner, known for his quiet dignity and deep bond with Baba’s family.
  • E. Paul Amir
    Paul Amir is a philanthropist and art patron known for his major support of cultural and architectural projects, including the Herta and Paul Amir Building.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aaa32288190830f6dfc626fb26a completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.