Triple

T11010936
Position Surface form Disambiguated ID Type / Status
Subject Tsitsi Dangarembga E260244 entity
Predicate givenName P17 FINISHED
Object Tsitsi
Tsitsi is a Zimbabwean given name notably borne by acclaimed novelist and filmmaker Tsitsi Dangarembga.
E899500 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: Tsitsi | Statement: [Tsitsi Dangarembga, givenName, Tsitsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsitsi
Context triple: [Tsitsi Dangarembga, givenName, Tsitsi]
  • A. Tembo
    Tembo are a Bantu-speaking ethnic group primarily inhabiting the eastern region of the Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
  • B. Zuchu
    Zuchu is a Tanzanian singer and songwriter known for her Bongo Flava and Afro-pop hits under the WCB Wasafi label.
  • C. Chiwere
    Chiwere is a Siouan language historically spoken by the Otoe-Missouria and Iowa (Ioway) Native American tribes of the central United States.
  • D. Behati
    Behati is a Namibian-born fashion model best known for her work as a Victoria’s Secret Angel and her high-profile presence in the international modeling industry.
  • E. Misis
    Misis is an ancient city in modern-day Turkey, historically known as Mopsuestia, which was an important settlement in the Cilicia region through Hellenistic, Roman, and Byzantine times.
  • 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: Tsitsi
Triple: [Tsitsi Dangarembga, givenName, Tsitsi]
Generated description
Tsitsi is a Zimbabwean given name notably borne by acclaimed novelist and filmmaker Tsitsi Dangarembga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tsitsi
Target entity description: Tsitsi is a Zimbabwean given name notably borne by acclaimed novelist and filmmaker Tsitsi Dangarembga.
  • A. Tembo
    Tembo are a Bantu-speaking ethnic group primarily inhabiting the eastern region of the Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
  • B. Zuchu
    Zuchu is a Tanzanian singer and songwriter known for her Bongo Flava and Afro-pop hits under the WCB Wasafi label.
  • C. Chiwere
    Chiwere is a Siouan language historically spoken by the Otoe-Missouria and Iowa (Ioway) Native American tribes of the central United States.
  • D. Behati
    Behati is a Namibian-born fashion model best known for her work as a Victoria’s Secret Angel and her high-profile presence in the international modeling industry.
  • E. Misis
    Misis is an ancient city in modern-day Turkey, historically known as Mopsuestia, which was an important settlement in the Cilicia region through Hellenistic, Roman, and Byzantine times.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797899a388190aa8fe813eac4dba7 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374ac78348190a8c0a5a7a736b24b completed April 18, 2026, 12:10 p.m.
NEDg Description generation batch_69e378df767c819099d0bfdf35eaf5f3 completed April 18, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69e37bf526108190b5fc22569fe6be54 completed April 18, 2026, 12:41 p.m.
Created at: April 8, 2026, 9:25 p.m.