Triple

T4192942
Position Surface form Disambiguated ID Type / Status
Subject Nosedive E89076 entity
Predicate castMember P1668 FINISHED
Object Sope Dirisu
Sope Dirisu is a British actor known for his roles in film and television, including prominent performances in projects like the crime drama series "Gangs of London" and the horror film "His House."
E420045 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: Sope Dirisu | Statement: [Nosedive, castMember, Sope Dirisu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sope Dirisu
Context triple: [Nosedive, castMember, Sope Dirisu]
  • A. Sidamu Afoo
    Sidamu Afoo is the Cushitic language spoken by the Sidama people of southern Ethiopia.
  • B. Douye Diri
    Douye Diri is a Nigerian politician who serves as the governor of Bayelsa State in the oil-rich Niger Delta region.
  • C. Tullu Dimtu
    Tullu Dimtu is the highest peak in Ethiopia’s Bale Mountains, known for its alpine landscapes and unique Afro-alpine biodiversity.
  • D. Mameyal
    Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
  • E. Gambiri Kati
    Gambiri Kati is an alternative name for the Tregami language, an Indo-Iranian language spoken in parts of eastern Afghanistan.
  • 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: Sope Dirisu
Triple: [Nosedive, castMember, Sope Dirisu]
Generated description
Sope Dirisu is a British actor known for his roles in film and television, including prominent performances in projects like the crime drama series "Gangs of London" and the horror film "His House."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sope Dirisu
Target entity description: Sope Dirisu is a British actor known for his roles in film and television, including prominent performances in projects like the crime drama series "Gangs of London" and the horror film "His House."
  • A. Sidamu Afoo
    Sidamu Afoo is the Cushitic language spoken by the Sidama people of southern Ethiopia.
  • B. Douye Diri
    Douye Diri is a Nigerian politician who serves as the governor of Bayelsa State in the oil-rich Niger Delta region.
  • C. Tullu Dimtu
    Tullu Dimtu is the highest peak in Ethiopia’s Bale Mountains, known for its alpine landscapes and unique Afro-alpine biodiversity.
  • D. Mameyal
    Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
  • E. Gambiri Kati
    Gambiri Kati is an alternative name for the Tregami language, an Indo-Iranian language spoken in parts of eastern Afghanistan.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0342c6048190835631649a14d304 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0b02208190af3a55d38a7a2459 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58e0446d48190a1fd54bcc72af026 completed March 14, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69b58e8d57cc8190a823a7cf3a3f0cdf completed March 14, 2026, 4:36 p.m.
Created at: March 9, 2026, 3:46 p.m.