Triple

T15623516
Position Surface form Disambiguated ID Type / Status
Subject Amir E375622 entity
Predicate hasWife P13 FINISHED
Object Soraya Taheri
Soraya Taheri is a key character in Khaled Hosseini’s novel "The Kite Runner," known as Amir’s supportive and resilient wife who helps him confront his past.
E1170594 NE FINISHED

How this triple was built (4 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: Soraya Taheri | Statement: [Amir, hasWife, Soraya Taheri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soraya Taheri
Context triple: [Amir, hasWife, Soraya Taheri]
  • A. Soraya Nazarian
    Soraya Nazarian is an Iranian-born American sculptor and philanthropist known for her cultural and educational contributions, particularly within the Jewish and Israeli communities.
  • B. Sia Alipour
    Sia Alipour is an actor known for his role in the Iranian television series "Tehran."
  • C. Shahrzad Davani
    Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
  • D. Zahra Rahnavard
    Zahra Rahnavard is an Iranian academic, artist, and political activist known for her prominent role in the Iranian reform movement and as a leading female figure in the 2009 Green Movement.
  • E. Hedieh Tehrani
    Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Soraya Taheri
Triple: [Amir, hasWife, Soraya Taheri]
Generated description
Soraya Taheri is a key character in Khaled Hosseini’s novel "The Kite Runner," known as Amir’s supportive and resilient wife who helps him confront his past.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Soraya Taheri
Target entity description: Soraya Taheri is a key character in Khaled Hosseini’s novel "The Kite Runner," known as Amir’s supportive and resilient wife who helps him confront his past.
  • A. Soraya Nazarian
    Soraya Nazarian is an Iranian-born American sculptor and philanthropist known for her cultural and educational contributions, particularly within the Jewish and Israeli communities.
  • B. Sia Alipour
    Sia Alipour is an actor known for his role in the Iranian television series "Tehran."
  • C. Shahrzad Davani
    Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
  • D. Zahra Rahnavard
    Zahra Rahnavard is an Iranian academic, artist, and political activist known for her prominent role in the Iranian reform movement and as a leading female figure in the 2009 Green Movement.
  • E. Hedieh Tehrani
    Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69ff6fb61144819085460226d406161d completed May 9, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff705b1ea08190bf08b99c19715e57 completed May 9, 2026, 5:35 p.m.
Created at: April 10, 2026, 4:14 a.m.