Triple

T20932184
Position Surface form Disambiguated ID Type / Status
Subject The Salesman E515496 entity
Predicate starring P1507 FINISHED
Object Taraneh Alidoosti
Taraneh Alidoosti is an acclaimed Iranian actress known for her leading roles in contemporary Iranian cinema and frequent collaborations with director Asghar Farhadi.
E1461623 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: Taraneh Alidoosti | Statement: [The Salesman, starring, Taraneh Alidoosti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taraneh Alidoosti
Context triple: [The Salesman, starring, Taraneh Alidoosti]
  • A. 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.
  • B. Shahrzad Fooladi
    Shahrzad Fooladi is the birth name of Snoh Aalegra, a Swedish singer and songwriter known for her soulful, R&B-influenced music.
  • C. Sareh Bayat
    Sareh Bayat is an Iranian actress best known internationally for her acclaimed role in the Oscar-winning film "A Separation."
  • D. Shahrzad Davani
    Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
  • E. Narges Rashidi
    Narges Rashidi is an Iranian-German actress known for her roles in international film and television, particularly in genre and crime dramas.
  • 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: Taraneh Alidoosti
Triple: [The Salesman, starring, Taraneh Alidoosti]
Generated description
Taraneh Alidoosti is an acclaimed Iranian actress known for her leading roles in contemporary Iranian cinema and frequent collaborations with director Asghar Farhadi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taraneh Alidoosti
Target entity description: Taraneh Alidoosti is an acclaimed Iranian actress known for her leading roles in contemporary Iranian cinema and frequent collaborations with director Asghar Farhadi.
  • A. 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.
  • B. Shahrzad Fooladi
    Shahrzad Fooladi is the birth name of Snoh Aalegra, a Swedish singer and songwriter known for her soulful, R&B-influenced music.
  • C. Sareh Bayat
    Sareh Bayat is an Iranian actress best known internationally for her acclaimed role in the Oscar-winning film "A Separation."
  • D. Shahrzad Davani
    Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
  • E. Narges Rashidi
    Narges Rashidi is an Iranian-German actress known for her roles in international film and television, particularly in genre and crime dramas.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f65681b4819083c7ef6b44ba4bdb completed April 21, 2026, 4 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b454adc8190b302b40ca9edde63 completed May 17, 2026, 3:51 a.m.
NEDg Description generation batch_6a093cd3946c8190ad18bc23d247420c completed May 17, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_6a093d2af98c81909df9d9ea44003740 completed May 17, 2026, 3:59 a.m.
Created at: April 16, 2026, 12:49 p.m.