Triple

T11266264
Position Surface form Disambiguated ID Type / Status
Subject Lane’s End Farm E266693 entity
Predicate hasStallion P55481 FINISHED
Object Kingmambo
Kingmambo was a champion Thoroughbred racehorse and highly influential sire known for producing numerous top-class runners worldwide.
 E915008 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: Kingmambo | Statement: [Lane’s End Farm, hasStallion, Kingmambo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kingmambo
Context triple: [Lane’s End Farm, hasStallion, Kingmambo]
  • A. Mtume
    Mtume was an American R&B and jazz-funk musician, songwriter, and producer best known for leading the band Mtume and co-writing the hit song "Juicy Fruit."
  • B. Mambo Kingz
    Mambo Kingz is a Latin music production duo known for crafting reggaeton and urban hits for top artists in the Spanish-speaking music scene.
  • C. Damongo
    Damongo is a town in northern Ghana known as a gateway to Mole National Park and other nearby natural and cultural attractions.
  • D. Mambo
    Mambo was the royal title used for the supreme ruler of the Rozvi Empire in what is now Zimbabwe.
  • E. Mambo
    Mambo is an open-source content management system that was widely used in the early 2000s for building dynamic websites and later served as the codebase origin for Joomla!.
  • 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: Kingmambo
Triple: [Lane’s End Farm, hasStallion, Kingmambo]
Generated description
Kingmambo was a champion Thoroughbred racehorse and highly influential sire known for producing numerous top-class runners worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kingmambo
Target entity description: Kingmambo was a champion Thoroughbred racehorse and highly influential sire known for producing numerous top-class runners worldwide.
  • A. Mtume
    Mtume was an American R&B and jazz-funk musician, songwriter, and producer best known for leading the band Mtume and co-writing the hit song "Juicy Fruit."
  • B. Mambo Kingz
    Mambo Kingz is a Latin music production duo known for crafting reggaeton and urban hits for top artists in the Spanish-speaking music scene.
  • C. Damongo
    Damongo is a town in northern Ghana known as a gateway to Mole National Park and other nearby natural and cultural attractions.
  • D. Mambo
    Mambo is an open-source content management system that was widely used in the early 2000s for building dynamic websites and later served as the codebase origin for Joomla!.
  • E. Mambo
    Mambo was the royal title used for the supreme ruler of the Rozvi Empire in what is now Zimbabwe.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94e5e3c8190a31995d55d20d7ed completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccc7fdc48190a84b8b584f67b464 completed April 19, 2026, 12:38 p.m.
NEDg Description generation batch_69e4d9ed6a048190ae7476d44cee6a6e completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4ddb1b4c8819087699bc73610c7f8 completed April 19, 2026, 1:50 p.m.
Created at: April 8, 2026, 9:31 p.m.