Triple

T9133129
Position Surface form Disambiguated ID Type / Status
Subject Wakandan Royal Family E219138 entity
Predicate notableMember P10 FINISHED
Object S'Yan
S'Yan is a former king of Wakanda and uncle to T'Challa in Marvel Comics' Black Panther mythos.
E780856 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: S'Yan | Statement: [Wakandan Royal Family, notableMember, S'Yan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S'Yan
Context triple: [Wakandan Royal Family, notableMember, S'Yan]
  • A. Yanshi
    Yanshi is a county-level city in Henan Province, China, known for its important Bronze Age archaeological remains and early Chinese urban development.
  • B. Sijjin
    Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
  • C. Yüeh
    Yüeh is an alternative romanization of "Yue," a term historically associated with various ancient peoples and regions in southern China and their related languages and cultures.
  • D. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • E. Yan
    Yan is a Chinese surname historically borne by various notable figures and families across different regions of China.
  • 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: S'Yan
Triple: [Wakandan Royal Family, notableMember, S'Yan]
Generated description
S'Yan is a former king of Wakanda and uncle to T'Challa in Marvel Comics' Black Panther mythos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: S'Yan
Target entity description: S'Yan is a former king of Wakanda and uncle to T'Challa in Marvel Comics' Black Panther mythos.
  • A. Yanshi
    Yanshi is a county-level city in Henan Province, China, known for its important Bronze Age archaeological remains and early Chinese urban development.
  • B. Sijjin
    Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
  • C. Yüeh
    Yüeh is an alternative romanization of "Yue," a term historically associated with various ancient peoples and regions in southern China and their related languages and cultures.
  • D. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • E. Yan
    Yan is a Chinese surname historically borne by various notable figures and families across different regions of China.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8dccecc81908d8fc641c419ca6a completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047e5ad5481909b7e62bee4d57492 completed April 3, 2026, 11:06 p.m.
NEDg Description generation batch_69d048dbcfe08190afb6ee816e22ddfc completed April 3, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_69d049b159d08190ad426bb7f9bcafb1 completed April 3, 2026, 11:13 p.m.
Created at: March 30, 2026, 7:18 p.m.