Triple

T20297913
Position Surface form Disambiguated ID Type / Status
Subject Origin (web series) E505399 entity
Predicate hasCastMember P2308 FINISHED
Object Adelayo Adedayo NE NERFINISHED

How this triple was built (2 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: Adelayo Adedayo | Statement: [Origin (web series), hasCastMember, Adelayo Adedayo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adelayo Adedayo
Context triple: [Origin (web series), hasCastMember, Adelayo Adedayo]
  • A. Adelayo Adedayo chosen
    Adelayo Adedayo is a British actress known for her roles in television, film, and web series, including prominent performances in UK comedies and dramas.
  • B. Temilade Openiyi
    Temilade Openiyi, known professionally as Tems, is a Nigerian singer, songwriter, and record producer acclaimed for her soulful Afrobeats sound and international collaborations.
  • C. Ayodele Balogun
    Ayodele Balogun is the central protagonist of the novel "Mother of George," around whom the story’s emotional and cultural conflicts revolve.
  • D. Adedamola Adefolahan
    Adedamola Adefolahan is a Nigerian singer and songwriter best known by his stage name Fireboy DML, recognized for his Afrobeats and R&B music.
  • E. Ronke Adekoluejo
    Ronke Adekoluejo is a British actress known for her work in film, television, and theatre, including roles in series like "Doctor Who" and "Chewing Gum."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677095fb481909806214da4002b59 completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:16 a.m.