Triple

T2426830
Position Surface form Disambiguated ID Type / Status
Subject Jonathan King E53547 entity
Predicate hasAlias P455 FINISHED
Object Sakkarin
Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
 E266155 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: Sakkarin | Statement: [Jonathan King, hasAlias, Sakkarin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sakkarin
Context triple: [Jonathan King, hasAlias, Sakkarin]
  • A. Sukkariyya
    Sukkariyya is the original Arabic title of Naguib Mahfouz’s novel "Sugar Street," the third book in his acclaimed Cairo Trilogy depicting the life of a Cairene family across generations.
  • B. Shakarparian
    Shakarparian is a popular hilltop park and viewpoint in Islamabad, Pakistan, known for its scenic city vistas, gardens, and national monuments.
  • C. Shaqra
    Shaqra is a town in central Saudi Arabia known for its traditional architecture and role as a regional cultural and administrative center.
  • D. Banaba
    Banaba is a raised coral island in the Pacific Ocean that is part of the Republic of Kiribati and is known for its rich phosphate deposits and dramatic environmental history.
  • E. Caramelo
    "Caramelo" is a popular reggaeton/Latin urban hit song by Puerto Rican singer Ozuna, known for its catchy melody and romantic lyrics.
  • 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: Sakkarin
Triple: [Jonathan King, hasAlias, Sakkarin]
Generated description
Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sakkarin
Target entity description: Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
  • A. Sukkariyya
    Sukkariyya is the original Arabic title of Naguib Mahfouz’s novel "Sugar Street," the third book in his acclaimed Cairo Trilogy depicting the life of a Cairene family across generations.
  • B. Shakarparian
    Shakarparian is a popular hilltop park and viewpoint in Islamabad, Pakistan, known for its scenic city vistas, gardens, and national monuments.
  • C. Shaqra
    Shaqra is a town in central Saudi Arabia known for its traditional architecture and role as a regional cultural and administrative center.
  • D. Banaba
    Banaba is a raised coral island in the Pacific Ocean that is part of the Republic of Kiribati and is known for its rich phosphate deposits and dramatic environmental history.
  • E. Caramelo
    "Caramelo" is a popular reggaeton/Latin urban hit song by Puerto Rican singer Ozuna, known for its catchy melody and romantic lyrics.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99b95548190b77d36de9adfe3bb completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf637be4819096874a24e87f84ab completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec7698e9881909c75137cb5cf2a0c completed March 9, 2026, 1:13 p.m.
NED2 Entity disambiguation (via description) batch_69aec87df0648190b8099b4eaa3d9b22 completed March 9, 2026, 1:17 p.m.
Created at: March 6, 2026, 9:42 p.m.