Triple

T4103213
Position Surface form Disambiguated ID Type / Status
Subject Nanga Parbat E88387 entity
Predicate winterAscentFirstBy P53392 FINISHED
Object Ali Sadpara
Ali Sadpara was a renowned Pakistani high-altitude mountaineer celebrated for his pioneering winter ascents in the Himalayas and Karakoram.
 E413834 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: Ali Sadpara | Statement: [Nanga Parbat, winterAscentFirstBy, Ali Sadpara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ali Sadpara
Context triple: [Nanga Parbat, winterAscentFirstBy, Ali Sadpara]
  • A. Ali Osman Taha
    Ali Osman Taha is a Sudanese politician and lawyer who served as First Vice President of Sudan and played a key role in negotiating the Comprehensive Peace Agreement that ended the Second Sudanese Civil War.
  • B. Ali Sami
    Ali Sami was an Iranian archaeologist and historian known for his significant excavations and research at ancient Persian sites.
  • C. Munir
    Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
  • D. Ali Kiba
    Ali Kiba is a Tanzanian singer and songwriter known as one of East Africa’s leading Bongo Flava artists.
  • E. Rasoul Azadani
    Rasoul Azadani is a film cinematographer best known for his work on Disney’s animated feature "Tangled."
  • 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: Ali Sadpara
Triple: [Nanga Parbat, winterAscentFirstBy, Ali Sadpara]
Generated description
Ali Sadpara was a renowned Pakistani high-altitude mountaineer celebrated for his pioneering winter ascents in the Himalayas and Karakoram.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ali Sadpara
Target entity description: Ali Sadpara was a renowned Pakistani high-altitude mountaineer celebrated for his pioneering winter ascents in the Himalayas and Karakoram.
  • A. Ali Osman Taha
    Ali Osman Taha is a Sudanese politician and lawyer who served as First Vice President of Sudan and played a key role in negotiating the Comprehensive Peace Agreement that ended the Second Sudanese Civil War.
  • B. Ali Sami
    Ali Sami was an Iranian archaeologist and historian known for his significant excavations and research at ancient Persian sites.
  • C. Munir
    Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
  • D. Ali Kiba
    Ali Kiba is a Tanzanian singer and songwriter known as one of East Africa’s leading Bongo Flava artists.
  • E. Rasoul Azadani
    Rasoul Azadani is a film cinematographer best known for his work on Disney’s animated feature "Tangled."
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af019af25481909e9f1d171356f3e8 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7a917c8190914a5ffe1297fdc8 completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56cbf12348190836f79e509468a3d completed March 14, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_69b570aef9008190bf8ef2deb00178ae completed March 14, 2026, 2:29 p.m.
Created at: March 9, 2026, 3:40 p.m.