Triple

T10471120
Position Surface form Disambiguated ID Type / Status
Subject In Fabric E246922 entity
Predicate castMember P1668 FINISHED
Object Jaygann Ayeh
Jaygann Ayeh is an actor known for his role in the British television series "In Fabric."
E865517 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: Jaygann Ayeh | Statement: [In Fabric, castMember, Jaygann Ayeh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaygann Ayeh
Context triple: [In Fabric, castMember, Jaygann Ayeh]
  • A. Ijigayehu
    Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
  • B. Ayan
    Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
  • C. Jhulelal
    Jhulelal is a revered deity and cultural hero of the Sindhi community, venerated as a protector and symbol of faith, unity, and resilience.
  • D. Baraka
    Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
  • E. Awjila
    Awjila is an endangered Eastern Berber language once spoken in the oasis town of Awjila in northeastern Libya.
  • 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: Jaygann Ayeh
Triple: [In Fabric, castMember, Jaygann Ayeh]
Generated description
Jaygann Ayeh is an actor known for his role in the British television series "In Fabric."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jaygann Ayeh
Target entity description: Jaygann Ayeh is an actor known for his role in the British television series "In Fabric."
  • A. Ijigayehu
    Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
  • B. Ayan
    Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
  • C. Jhulelal
    Jhulelal is a revered deity and cultural hero of the Sindhi community, venerated as a protector and symbol of faith, unity, and resilience.
  • D. Baraka
    Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
  • E. Awjila
    Awjila is an endangered Eastern Berber language once spoken in the oasis town of Awjila in northeastern Libya.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509305fec81908b1acd91ae1f875d completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a0094910819094d492c87b31898e completed April 10, 2026, 7 a.m.
NEDg Description generation batch_69d8a45e5a108190ba8e6ba4af858b19 completed April 10, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69d8a890c6b081908e57cc74f18d788b completed April 10, 2026, 7:36 a.m.
Created at: April 6, 2026, 12:20 p.m.