Triple

T13472938
Position Surface form Disambiguated ID Type / Status
Subject Susan Wokoma E318173 entity
Predicate hasInstagramUsername P3718 FINISHED
Object susiewoosie12
susiewoosie12 is the Instagram handle of British actress and writer Susan Wokoma, known for her roles in television, film, and theatre.
 E1042603 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: susiewoosie12 | Statement: [Susan Wokoma, hasInstagramUsername, susiewoosie12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: susiewoosie12
Context triple: [Susan Wokoma, hasInstagramUsername, susiewoosie12]
  • A. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • B. Woopi
    Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
  • C. Woombah
    Woombah is a small rural village in northern New South Wales, Australia, known for its bushland setting near the Clarence River and coastal towns like Iluka and Yamba.
  • D. Su
    Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
  • E. Su
    Su is the given name of Su Rogers, a British architect and academic known for her contributions to modern architecture and design education.
  • 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: susiewoosie12
Triple: [Susan Wokoma, hasInstagramUsername, susiewoosie12]
Generated description
susiewoosie12 is the Instagram handle of British actress and writer Susan Wokoma, known for her roles in television, film, and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: susiewoosie12
Target entity description: susiewoosie12 is the Instagram handle of British actress and writer Susan Wokoma, known for her roles in television, film, and theatre.
  • A. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • B. Woopi
    Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
  • C. Woombah
    Woombah is a small rural village in northern New South Wales, Australia, known for its bushland setting near the Clarence River and coastal towns like Iluka and Yamba.
  • D. Su
    Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
  • E. Su
    Su is the given name of Su Rogers, a British architect and academic known for her contributions to modern architecture and design education.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2447bc81908baf1f4b55095144 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462d97688190b5b817fff5973ceb completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74b294e548190a34120a99be38ed2 completed May 3, 2026, 1:18 p.m.
NED2 Entity disambiguation (via description) batch_69f74b8ed66081909cfba73e4c2667a4 completed May 3, 2026, 1:20 p.m.
Created at: April 9, 2026, 9:42 p.m.