Triple

T1188135
Position Surface form Disambiguated ID Type / Status
Subject President of Zimbabwe E25293 entity
Predicate firstHolder P291 FINISHED
Object Canaan Banana
Canaan Banana was a Zimbabwean Methodist minister, theologian, and politician who became the country’s first president after independence in 1980.
 E136480 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: Canaan Banana | Statement: [President of Zimbabwe, firstHolder, Canaan Banana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Canaan Banana
Context triple: [President of Zimbabwe, firstHolder, Canaan Banana]
  • A. Banana
    Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
  • B. Going Bananas
    "Going Bananas" is a British comedy film featuring Norman Wisdom in one of his characteristically slapstick, lighthearted roles.
  • C. Canóvanas
    Canóvanas is a municipality in northeastern Puerto Rico known for its proximity to San Juan and its blend of suburban communities with rural, mountainous landscapes.
  • D. Matucana
    Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
  • E. Keitt mango
    Keitt mango is a late-season, large, green-skinned mango cultivar prized for its sweet, fiberless flesh and extended shelf life.
  • 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: Canaan Banana
Triple: [President of Zimbabwe, firstHolder, Canaan Banana]
Generated description
Canaan Banana was a Zimbabwean Methodist minister, theologian, and politician who became the country’s first president after independence in 1980.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Canaan Banana
Target entity description: Canaan Banana was a Zimbabwean Methodist minister, theologian, and politician who became the country’s first president after independence in 1980.
  • A. Banana
    Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
  • B. Going Bananas
    "Going Bananas" is a British comedy film featuring Norman Wisdom in one of his characteristically slapstick, lighthearted roles.
  • C. Canóvanas
    Canóvanas is a municipality in northeastern Puerto Rico known for its proximity to San Juan and its blend of suburban communities with rural, mountainous landscapes.
  • D. Matucana
    Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
  • E. Keitt mango
    Keitt mango is a late-season, large, green-skinned mango cultivar prized for its sweet, fiberless flesh and extended shelf life.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd568cf481908d10cf19a3ce28f3 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac764a5f508190a54c8f01cf0b0d11 completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac76c0863c81909c68208709e4767b completed March 7, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_69ac778551f88190ac041d80e41d209d completed March 7, 2026, 7:07 p.m.
Created at: March 1, 2026, 7:45 p.m.