Triple

T22049560
Position Surface form Disambiguated ID Type / Status
Subject Tatenda Taibu E544847 entity
Predicate givenName P17 FINISHED
Object Tatenda
Tatenda is a unisex Shona given name from Zimbabwe that means "we are thankful" or "thank you."
 E1515659 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: Tatenda | Statement: [Tatenda Taibu, givenName, Tatenda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tatenda
Context triple: [Tatenda Taibu, givenName, Tatenda]
  • A. Lundazi
    Lundazi is a rural town in eastern Zambia known as an administrative and trading center near the border with Malawi.
  • B. Mberengwa
    Mberengwa is a rural district and growth point in Zimbabwe known for its mining activities and location in the southern part of the Midlands Province.
  • C. Ntshona
    Ntshona is the surname of South African actor and playwright Winston Ntshona, known for his influential work in anti-apartheid theatre.
  • D. Zvimba
    Zvimba is a town in northern Zimbabwe located within Mashonaland West Province, known primarily as a rural administrative and farming center.
  • E. Chindau
    Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and Zimbabwe.
  • 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: Tatenda
Triple: [Tatenda Taibu, givenName, Tatenda]
Generated description
Tatenda is a unisex Shona given name from Zimbabwe that means "we are thankful" or "thank you."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tatenda
Target entity description: Tatenda is a unisex Shona given name from Zimbabwe that means "we are thankful" or "thank you."
  • A. Lundazi
    Lundazi is a rural town in eastern Zambia known as an administrative and trading center near the border with Malawi.
  • B. Mberengwa
    Mberengwa is a rural district and growth point in Zimbabwe known for its mining activities and location in the southern part of the Midlands Province.
  • C. Ntshona
    Ntshona is the surname of South African actor and playwright Winston Ntshona, known for his influential work in anti-apartheid theatre.
  • D. Zvimba
    Zvimba is a town in northern Zimbabwe located within Mashonaland West Province, known primarily as a rural administrative and farming center.
  • E. Chindau
    Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128323fb08190b9592fd08a96cba0 completed April 28, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b79594c8190b66439167d7a3cbd completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7cb2b0c88190930290efe1d8371a completed May 18, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7e131ae48190a564a86d3d691e1a completed May 18, 2026, 2:48 a.m.
Created at: April 16, 2026, 8:26 p.m.