Triple

T18618369
Position Surface form Disambiguated ID Type / Status
Subject Nasrin Sotoudeh E455087 entity
Predicate givenName P17 FINISHED
Object Nasrin
Nasrin is a Persian given name commonly used for women, notably borne by Iranian human rights lawyer Nasrin Sotoudeh.
E1333331 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: Nasrin | Statement: [Nasrin Sotoudeh, givenName, Nasrin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nasrin
Context triple: [Nasrin Sotoudeh, givenName, Nasrin]
  • A. Nasim
    Nasim is an Iranian-American actress and comedian best known for her work on "Saturday Night Live" and the sitcom "New Girl."
  • B. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • C. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • D. Zahra
    Zahra is the given name of Princess Zahra Aga Khan, a prominent member of the Aga Khan family known for her work in international development and philanthropy.
  • E. Nariman
    Nariman is an Indian surname notably borne by Fali Sam Nariman, a prominent jurist and constitutional expert.
  • 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: Nasrin
Triple: [Nasrin Sotoudeh, givenName, Nasrin]
Generated description
Nasrin is a Persian given name commonly used for women, notably borne by Iranian human rights lawyer Nasrin Sotoudeh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nasrin
Target entity description: Nasrin is a Persian given name commonly used for women, notably borne by Iranian human rights lawyer Nasrin Sotoudeh.
  • A. Nasim
    Nasim is an Iranian-American actress and comedian best known for her work on "Saturday Night Live" and the sitcom "New Girl."
  • B. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • C. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • D. Zahra
    Zahra is the given name of Princess Zahra Aga Khan, a prominent member of the Aga Khan family known for her work in international development and philanthropy.
  • E. Nariman
    Nariman is an Indian surname notably borne by Fali Sam Nariman, a prominent jurist and constitutional expert.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d06c1f8819094fbfa56eca07eaa completed April 19, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050390bd4c8190b623f08a12eee39b completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a050455e6e8819084927b1c2d4a5237 completed May 13, 2026, 11:08 p.m.
NED2 Entity disambiguation (via description) batch_6a0505cbc11481908e61d90dd64f6212 completed May 13, 2026, 11:14 p.m.
Created at: April 10, 2026, 11:46 a.m.