Triple

T5942843
Position Surface form Disambiguated ID Type / Status
Subject Esfandiyar E132208 entity
Predicate mother P120 FINISHED
Object Katayun
Katayun is a figure in Persian mythology known primarily as the mother of the legendary hero Esfandiyar in the Shahnameh.
E559530 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: Katayun | Statement: [Esfandiyar, mother, Katayun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katayun
Context triple: [Esfandiyar, mother, Katayun]
  • A. Kiya
    Kiya was a lesser-known wife of the Egyptian pharaoh Akhenaten, often associated with the Amarna period and subject to scholarly debate regarding her origins and role at court.
  • B. Yua
    Yua is a small genus of flowering plants in the grape family Vitaceae, native to parts of East Asia.
  • C. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • D. Haruna
    Haruna was a Japanese Kongō-class fast battleship that served in the Imperial Japanese Navy during both World Wars and saw extensive action in the Pacific Theater.
  • E. Towa
    Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
  • 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: Katayun
Triple: [Esfandiyar, mother, Katayun]
Generated description
Katayun is a figure in Persian mythology known primarily as the mother of the legendary hero Esfandiyar in the Shahnameh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Katayun
Target entity description: Katayun is a figure in Persian mythology known primarily as the mother of the legendary hero Esfandiyar in the Shahnameh.
  • A. Kiya
    Kiya was a lesser-known wife of the Egyptian pharaoh Akhenaten, often associated with the Amarna period and subject to scholarly debate regarding her origins and role at court.
  • B. Yua
    Yua is a small genus of flowering plants in the grape family Vitaceae, native to parts of East Asia.
  • C. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • D. Haruna
    Haruna was a Japanese Kongō-class fast battleship that served in the Imperial Japanese Navy during both World Wars and saw extensive action in the Pacific Theater.
  • E. Towa
    Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0393641d0819081c6c44816d94e4e completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3bd196081908361a38ca17309c6 completed March 23, 2026, 6:54 a.m.
NEDg Description generation batch_69c0f87d34f88190ad3a91b64079b213 completed March 23, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0f9aabd6c8190bcb2a2022a00672d completed March 23, 2026, 8:28 a.m.
Created at: March 22, 2026, 4:01 p.m.