Triple

T5698856
Position Surface form Disambiguated ID Type / Status
Subject Jamshid E125607 entity
Predicate nameVariant P744 FINISHED
Object Yima
Yima is a legendary figure in ancient Iranian mythology, often depicted as a great king and culture hero associated with early human civilization and a paradisiacal realm.
 E539330 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: Yima | Statement: [Jamshid, nameVariant, Yima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yima
Context triple: [Jamshid, nameVariant, Yima]
  • A. Youlan
    Youlan was a Qing dynasty noblewoman best known as the mother of Puyi, the last emperor of China.
  • B. Baldzhuan
    Baldzhuan is a village in present-day Tajikistan, historically notable as the remote Central Asian location where Ottoman leader Enver Pasha was killed in 1922.
  • C. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • D. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • E. Yan Taru
    Yan Taru is a 19th-century Muslim women’s educational network and movement in the Sokoto Caliphate, dedicated to teaching and spreading Islamic knowledge among women.
  • 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: Yima
Triple: [Jamshid, nameVariant, Yima]
Generated description
Yima is a legendary figure in ancient Iranian mythology, often depicted as a great king and culture hero associated with early human civilization and a paradisiacal realm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yima
Target entity description: Yima is a legendary figure in ancient Iranian mythology, often depicted as a great king and culture hero associated with early human civilization and a paradisiacal realm.
  • A. Youlan
    Youlan was a Qing dynasty noblewoman best known as the mother of Puyi, the last emperor of China.
  • B. Baldzhuan
    Baldzhuan is a village in present-day Tajikistan, historically notable as the remote Central Asian location where Ottoman leader Enver Pasha was killed in 1922.
  • C. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • D. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • E. Yan Taru
    Yan Taru is a 19th-century Muslim women’s educational network and movement in the Sokoto Caliphate, dedicated to teaching and spreading Islamic knowledge among women.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240ecef48190bdef10b38ecb2bd0 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5c89b88190a397c6b1dcb9c3e8 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05bb76a748190a3b1a289dbd92dee completed March 22, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69c05c498c4c8190bfa3ac17fba2b152 completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:45 p.m.