Triple

T8433131
Position Surface form Disambiguated ID Type / Status
Subject Thanos E199162 entity
Predicate parent P120 FINISHED
Object Sui-San
Sui-San is a member of the Eternals in Marvel Comics, best known as the mother of the cosmic supervillain Thanos.
 E734007 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: Sui-San | Statement: [Thanos, parent, Sui-San]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sui-San
Context triple: [Thanos, parent, Sui-San]
  • A. Chikako
    Chikako is a Japanese feminine given name that can be written with various kanji characters and is borne by several notable women in Japan.
  • B. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • C. Mei-ling
    Mei-ling is the given name of Soong Mei-ling, the influential 20th-century Chinese political figure and wife of Chiang Kai-shek.
  • D. Pujie
    Pujie was a Manchu prince of the Qing imperial family and younger brother of the last Emperor of China, Puyi, who played minor political roles during Japan’s occupation of Manchuria.
  • E. Sojin
    Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
  • 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: Sui-San
Triple: [Thanos, parent, Sui-San]
Generated description
Sui-San is a member of the Eternals in Marvel Comics, best known as the mother of the cosmic supervillain Thanos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sui-San
Target entity description: Sui-San is a member of the Eternals in Marvel Comics, best known as the mother of the cosmic supervillain Thanos.
  • A. Chikako
    Chikako is a Japanese feminine given name that can be written with various kanji characters and is borne by several notable women in Japan.
  • B. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • C. Mei-ling
    Mei-ling is the given name of Soong Mei-ling, the influential 20th-century Chinese political figure and wife of Chiang Kai-shek.
  • D. Pujie
    Pujie was a Manchu prince of the Qing imperial family and younger brother of the last Emperor of China, Puyi, who played minor political roles during Japan’s occupation of Manchuria.
  • E. Sojin
    Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a5d7488190842e246444fc9a4e completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d673ed48190abf765c203ed2a0f completed April 2, 2026, 7:40 a.m.
NEDg Description generation batch_69ce1e6e83008190a4c2f796928882c1 completed April 2, 2026, 7:44 a.m.
NED2 Entity disambiguation (via description) batch_69ce1f3d46f48190be7b494e808a70f9 completed April 2, 2026, 7:48 a.m.
Created at: March 30, 2026, 6:07 p.m.