Triple

T9527374
Position Surface form Disambiguated ID Type / Status
Subject Shirin E229793 entity
Predicate alternativeTransliteration P5923 FINISHED
Object Shireen
Shireen is a feminine given name of Persian origin, commonly used in various cultures across the Middle East and South Asia.
 E806211 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: Shireen | Statement: [Shirin, alternativeTransliteration, Shireen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shireen
Context triple: [Shirin, alternativeTransliteration, Shireen]
  • A. Ayesha
    Ayesha is a central fictional heroine in Bankim Chandra Chattopadhyay’s historical Bengali novel "Durgeshnandini," known for her beauty, courage, and tragic love.
  • 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. Leila
    Leila is a tragic female character in Lord Byron’s narrative poem "The Giaour," whose fate embodies themes of forbidden love, betrayal, and vengeance.
  • D. Samira
    Samira is a feminine given name of Arabic origin commonly used across the Middle East, North Africa, and South Asia.
  • E. Assiah
    Assiah is the Kabbalistic world of action and material existence, representing the lowest of the four spiritual realms in Jewish mysticism.
  • 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: Shireen
Triple: [Shirin, alternativeTransliteration, Shireen]
Generated description
Shireen is a feminine given name of Persian origin, commonly used in various cultures across the Middle East and South Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shireen
Target entity description: Shireen is a feminine given name of Persian origin, commonly used in various cultures across the Middle East and South Asia.
  • A. Ayesha
    Ayesha is a central fictional heroine in Bankim Chandra Chattopadhyay’s historical Bengali novel "Durgeshnandini," known for her beauty, courage, and tragic love.
  • 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. Leila
    Leila is a tragic female character in Lord Byron’s narrative poem "The Giaour," whose fate embodies themes of forbidden love, betrayal, and vengeance.
  • D. Samira
    Samira is a feminine given name of Arabic origin commonly used across the Middle East, North Africa, and South Asia.
  • E. Assiah
    Assiah is the Kabbalistic world of action and material existence, representing the lowest of the four spiritual realms in Jewish mysticism.
  • 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd989c831081908877e42f7ead84ba completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c2710b481909a13d946f6dd5b2d completed April 4, 2026, 5:36 p.m.
NEDg Description generation batch_69d14e49c97481909a1bab1b4d482194 completed April 4, 2026, 5:45 p.m.
NED2 Entity disambiguation (via description) batch_69d14ee1fcdc8190bf23a3af97f0ba39 completed April 4, 2026, 5:48 p.m.
Created at: March 30, 2026, 8 p.m.