Triple

T15623448
Position Surface form Disambiguated ID Type / Status
Subject Khaled Hosseini E375621 entity
Predicate familyName P18 FINISHED
Object Hosseini E375621 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: Hosseini | Statement: [Khaled Hosseini, familyName, Hosseini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hosseini
Context triple: [Khaled Hosseini, familyName, Hosseini]
  • A. Khaled Hosseini chosen
    Khaled Hosseini is an Afghan-American novelist best known for his bestselling debut novel "The Kite Runner" and subsequent works exploring themes of family, exile, and the Afghan experience.
  • B. Nadia Hashimi
    Nadia Hashimi is an Afghan American novelist and pediatrician known for her bestselling books that explore Afghan history, culture, and the experiences of women and refugees.
  • C. Tahereh Mafi
    Tahereh Mafi is an Iranian-American author best known for her young adult dystopian and fantasy novels, including the popular "Shatter Me" series.
  • D. Azadeh Moaveni
    Azadeh Moaveni is an Iranian-American journalist and author known for her reporting on the Middle East and her memoirs exploring Iranian society, identity, and women's lives.
  • E. Shahrzad Davani
    Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
  • 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_69ff6ece07608190a705f108c8c2979a completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:14 a.m.