Triple

T2217364
Position Surface form Disambiguated ID Type / Status
Subject Robyn Slovo E48062 entity
Predicate familyName P18 FINISHED
Object Slovo
Slovo is a surname most notably associated with South African anti-apartheid activist and politician Joe Slovo and his family.
 E244985 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: Slovo | Statement: [Robyn Slovo, familyName, Slovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slovo
Context triple: [Robyn Slovo, familyName, Slovo]
  • A. Limba
    The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
  • B. Svobodny
    Svobodny is a town in Russia’s Amur Oblast, known historically as a Trans-Siberian Railway hub and more recently for its proximity to the Vostochny Cosmodrome.
  • C. Litovel
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • D. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • E. Sluha Narodu
    Sluha Narodu is a Ukrainian political party founded around Volodymyr Zelenskyy and named after his popular satirical TV series about an everyman who becomes president.
  • 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: Slovo
Triple: [Robyn Slovo, familyName, Slovo]
Generated description
Slovo is a surname most notably associated with South African anti-apartheid activist and politician Joe Slovo and his family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slovo
Target entity description: Slovo is a surname most notably associated with South African anti-apartheid activist and politician Joe Slovo and his family.
  • A. Limba
    The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
  • B. Svobodny
    Svobodny is a town in Russia’s Amur Oblast, known historically as a Trans-Siberian Railway hub and more recently for its proximity to the Vostochny Cosmodrome.
  • C. Litovel
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • D. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • E. Sluha Narodu
    Sluha Narodu is a Ukrainian political party founded around Volodymyr Zelenskyy and named after his popular satirical TV series about an everyman who becomes president.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc010bd4c8190ace293b37eac1de5 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65594c948190a43bdab03e61c130 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae65e191f88190a08f96e8ba5f71bb completed March 9, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_69ae66590480819093de9e9abf681a6a completed March 9, 2026, 6:19 a.m.
Created at: March 4, 2026, 7:46 p.m.