Triple

T9537189
Position Surface form Disambiguated ID Type / Status
Subject Hassan Bubacar Jallow E230047 entity
Predicate familyName P18 FINISHED
Object Jallow
Jallow is a common Gambian surname borne by various notable figures in West African public life, law, and politics.
 E804870 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: Jallow | Statement: [Hassan Bubacar Jallow, familyName, Jallow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jallow
Context triple: [Hassan Bubacar Jallow, familyName, Jallow]
  • A. Buurba Jolof
    Buurba Jolof was the royal title borne by the kings who ruled the historic Wolof Empire in what is now Senegal.
  • B. Wagadou
    Wagadou is the historical name for the Ghana Empire, a powerful West African trading state that flourished between the 6th and 13th centuries.
  • C. Berbeka
    Berbeka is a Polish surname most notably associated with high-altitude mountaineer Maciej Berbeka.
  • D. Djenne
    Djenné is an ancient trading city in present-day Mali renowned for its mud-brick architecture and historic role as a center of Islamic scholarship and trans-Saharan commerce.
  • E. Tsévié
    Tsévié is a town in southern Togo that serves as an important regional center for trade and agriculture.
  • 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: Jallow
Triple: [Hassan Bubacar Jallow, familyName, Jallow]
Generated description
Jallow is a common Gambian surname borne by various notable figures in West African public life, law, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jallow
Target entity description: Jallow is a common Gambian surname borne by various notable figures in West African public life, law, and politics.
  • A. Buurba Jolof
    Buurba Jolof was the royal title borne by the kings who ruled the historic Wolof Empire in what is now Senegal.
  • B. Wagadou
    Wagadou is the historical name for the Ghana Empire, a powerful West African trading state that flourished between the 6th and 13th centuries.
  • C. Berbeka
    Berbeka is a Polish surname most notably associated with high-altitude mountaineer Maciej Berbeka.
  • D. Djenne
    Djenné is an ancient trading city in present-day Mali renowned for its mud-brick architecture and historic role as a center of Islamic scholarship and trans-Saharan commerce.
  • E. Tsévié
    Tsévié is a town in southern Togo that serves as an important regional center for trade and agriculture.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98ce884c8190a8b3c2dc7c73c2c9 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c5684308190a9cb2942f7d2f2b0 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14ce2abe48190b554d08ca34508b0 completed April 4, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69d14d6abc9481909401a8cc097c304d completed April 4, 2026, 5:42 p.m.
Created at: March 30, 2026, 8:01 p.m.