Triple

T15623594
Position Surface form Disambiguated ID Type / Status
Subject Baba (The Kite Runner film character) E375624 entity
Predicate hasChild P369 FINISHED
Object Amir (The Kite Runner character) E375622 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: Amir (The Kite Runner character) | Statement: [Baba (The Kite Runner film character), hasChild, Amir (The Kite Runner character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amir (The Kite Runner character)
Context triple: [Baba (The Kite Runner film character), hasChild, Amir (The Kite Runner character)]
  • A. Amir chosen
    Amir is the conflicted Afghan protagonist of "The Kite Runner," whose journey is defined by childhood betrayal, guilt, and a quest for redemption.
  • B. Amir
    Amir is a noble and military title historically used across the Islamic world, often denoting a commander, prince, or high-ranking leader.
  • 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. Abdul
    Abdul is a common male given name of Arabic origin meaning "servant of" (typically followed by one of the names of God).
  • E. Ahmed
    Ahmed is a common Arabic male given name meaning "most commendable" or "most praiseworthy."
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9cfd94819091459aa17a002eaf completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3f65dc8190ac94db1d4d53d77f completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.