Triple

T14241337
Position Surface form Disambiguated ID Type / Status
Subject Adekunle Gold E353012 entity
Predicate notableWork P4 FINISHED
Object Rodo
Rodo is a song by Nigerian singer Adekunle Gold, known for its blend of contemporary Afrobeats with smooth, melodic vocals.
E1087645 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: Rodo | Statement: [Adekunle Gold, notableWork, Rodo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rodo
Context triple: [Adekunle Gold, notableWork, Rodo]
  • A. Fiume
    Fiume is the historical name for the Adriatic port city now known as Rijeka, located in present-day Croatia.
  • B. Trenta
    Trenta is a small alpine valley settlement in northwestern Slovenia, known as the scenic source area of the Soča (Isonzo) River within Triglav National Park.
  • C. Fiumana
    Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • D. Inva River
    The Inva River is a tributary waterway in Russia that feeds into the larger Kama River within the Volga basin.
  • E. Rohe
    Rohe is the surname of American actress and dancer Vera-Ellen, known for her roles in classic Hollywood musicals.
  • 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: Rodo
Triple: [Adekunle Gold, notableWork, Rodo]
Generated description
Rodo is a song by Nigerian singer Adekunle Gold, known for its blend of contemporary Afrobeats with smooth, melodic vocals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rodo
Target entity description: Rodo is a song by Nigerian singer Adekunle Gold, known for its blend of contemporary Afrobeats with smooth, melodic vocals.
  • A. Fiume
    Fiume is the historical name for the Adriatic port city now known as Rijeka, located in present-day Croatia.
  • B. Trenta
    Trenta is a small alpine valley settlement in northwestern Slovenia, known as the scenic source area of the Soča (Isonzo) River within Triglav National Park.
  • C. Fiumana
    Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • D. Inva River
    The Inva River is a tributary waterway in Russia that feeds into the larger Kama River within the Volga basin.
  • E. Rohe
    Rohe is the surname of American actress and dancer Vera-Ellen, known for her roles in classic Hollywood musicals.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6244ad188190b9d9db7914240410 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd282183308190b63172972773b3c2 completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd29fd7cdc8190bd210f3b27f935c0 completed May 8, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69fd2bc719ac8190b2b8726c70d811dd completed May 8, 2026, 12:18 a.m.
Created at: April 10, 2026, 1:08 a.m.