Triple

T14855097
Position Surface form Disambiguated ID Type / Status
Subject Rinchinbal Khan E349330 entity
Predicate mother P120 FINISHED
Object Babusha
Babusha was the mother of Rinchinbal Khan, a short-reigning 14th-century emperor of the Yuan dynasty in China.
 E1123598 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: Babusha | Statement: [Rinchinbal Khan, mother, Babusha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Babusha
Context triple: [Rinchinbal Khan, mother, Babusha]
  • A. Babusch
    Babusch is a character in Bertolt Brecht’s play "Drums in the Night," appearing within its post–World War I German setting.
  • B. Totsuko
    Totsuko is the former abbreviated name of Tokyo Tsushin Kogyo, the Japanese company that later became Sony.
  • C. Babooshka
    "Babooshka" is a 1980 art-pop song by English singer-songwriter Kate Bush, known for its dramatic storytelling, theatrical vocals, and distinctive music video.
  • D. Babica
    Babica is a mountain peak located in the Maków Beskids range in southern Poland.
  • E. Babička
    Babička is a classic 1855 Czech novel by Božena Němcová that nostalgically portrays rural life and the wisdom of a beloved grandmother figure.
  • 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: Babusha
Triple: [Rinchinbal Khan, mother, Babusha]
Generated description
Babusha was the mother of Rinchinbal Khan, a short-reigning 14th-century emperor of the Yuan dynasty in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Babusha
Target entity description: Babusha was the mother of Rinchinbal Khan, a short-reigning 14th-century emperor of the Yuan dynasty in China.
  • A. Babusch
    Babusch is a character in Bertolt Brecht’s play "Drums in the Night," appearing within its post–World War I German setting.
  • B. Totsuko
    Totsuko is the former abbreviated name of Tokyo Tsushin Kogyo, the Japanese company that later became Sony.
  • C. Babooshka
    "Babooshka" is a 1980 art-pop song by English singer-songwriter Kate Bush, known for its dramatic storytelling, theatrical vocals, and distinctive music video.
  • D. Babica
    Babica is a mountain peak located in the Maków Beskids range in southern Poland.
  • E. Babička
    Babička is a classic 1855 Czech novel by Božena Němcová that nostalgically portrays rural life and the wisdom of a beloved grandmother figure.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44318f0819080b6c599f2d3474f completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe65087708819084f51a043e5361e9 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe66218cb88190b8c86b359abaa14c completed May 8, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69fe66de57cc8190935d764d399f56f5 completed May 8, 2026, 10:42 p.m.
Created at: April 10, 2026, 1:54 a.m.