Triple

T12917412
Position Surface form Disambiguated ID Type / Status
Subject Sinchi Roca E309021 entity
Predicate spouse P13 FINISHED
Object Mama Cura
Mama Cura was an Incan noblewoman traditionally regarded as the principal wife of Sinchi Roca, the second Sapa Inca of the Kingdom of Cusco.
 E1008695 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: Mama Cura | Statement: [Sinchi Roca, spouse, Mama Cura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mama Cura
Context triple: [Sinchi Roca, spouse, Mama Cura]
  • A. La MaMa
    La MaMa is a renowned Off-Off-Broadway experimental theater in New York City known for fostering avant-garde performance and emerging artists.
  • B. Mama
    Mama is a key supporting character in the video game "Death Stranding," a brilliant yet tragic scientist who aids protagonist Sam Porter Bridges with her expertise in chiral technology.
  • C. Mama
    "Mama" is a dark, emotionally intense 1983 song by the English rock band Genesis, known for its haunting atmosphere and Phil Collins's distinctive vocal delivery.
  • D. Mama
    Mama is a recurring supporting character in the animated television series "Rocket Power," known for her role within the show's surfing and extreme-sports-centered world.
  • E. Mama
    "Mama" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
  • 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: Mama Cura
Triple: [Sinchi Roca, spouse, Mama Cura]
Generated description
Mama Cura was an Incan noblewoman traditionally regarded as the principal wife of Sinchi Roca, the second Sapa Inca of the Kingdom of Cusco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mama Cura
Target entity description: Mama Cura was an Incan noblewoman traditionally regarded as the principal wife of Sinchi Roca, the second Sapa Inca of the Kingdom of Cusco.
  • A. La MaMa
    La MaMa is a renowned Off-Off-Broadway experimental theater in New York City known for fostering avant-garde performance and emerging artists.
  • B. Mama
    Mama is a key supporting character in the video game "Death Stranding," a brilliant yet tragic scientist who aids protagonist Sam Porter Bridges with her expertise in chiral technology.
  • C. Mama
    "Mama" is a dark, emotionally intense 1983 song by the English rock band Genesis, known for its haunting atmosphere and Phil Collins's distinctive vocal delivery.
  • D. Mama
    Mama is a recurring supporting character in the animated television series "Rocket Power," known for her role within the show's surfing and extreme-sports-centered world.
  • E. Mama
    "Mama" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a1e8088190af697629baecf59f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a571a3e48190a32d362adc6eaee2 completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a66cd21081909283d70e0f5d06cb completed May 3, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69f6a7792f948190bb0b324bee0cd8ac completed May 3, 2026, 1:40 a.m.
Created at: April 9, 2026, 5:41 p.m.