Triple

T2106655
Position Surface form Disambiguated ID Type / Status
Subject Yan Xishan E42409 entity
Predicate familyName P18 FINISHED
Object Yan
Yan is a Chinese surname historically borne by various notable figures and families across different regions of China.
 E235045 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: Yan | Statement: [Yan Xishan, familyName, Yan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yan
Context triple: [Yan Xishan, familyName, Yan]
  • A. Yanam
    Yanam is a coastal town and district enclave of the Union Territory of Puducherry in India, historically influenced by French colonial rule and culturally linked to the Telugu-speaking region of Andhra Pradesh.
  • B. Yahi
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • C. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • D. Yih
    Yih is the surname of Chia-Shun Yih, a notable Chinese-American engineer and fluid dynamicist.
  • E. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • 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: Yan
Triple: [Yan Xishan, familyName, Yan]
Generated description
Yan is a Chinese surname historically borne by various notable figures and families across different regions of China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yan
Target entity description: Yan is a Chinese surname historically borne by various notable figures and families across different regions of China.
  • A. Yanam
    Yanam is a coastal town and district enclave of the Union Territory of Puducherry in India, historically influenced by French colonial rule and culturally linked to the Telugu-speaking region of Andhra Pradesh.
  • B. Yahi
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • C. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • D. Yih
    Yih is the surname of Chia-Shun Yih, a notable Chinese-American engineer and fluid dynamicist.
  • E. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbaddeb148190b728bce7a7b041fb completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306e040081909334f2a70036c26e completed March 9, 2026, 2:29 a.m.
NEDg Description generation batch_69ae31722f0081908a4d9d0760af375e completed March 9, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69ae3209e46c81909055a1ee4fccd74d completed March 9, 2026, 2:35 a.m.
Created at: March 4, 2026, 7:43 p.m.