Triple

T14046475
Position Surface form Disambiguated ID Type / Status
Subject Lighting Up the Sky E337968 entity
Predicate producer P490 FINISHED
Object Erna, Sully
Erna Sully is a music producer known for her work on the project "Lighting Up the Sky."
E1076082 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: Erna, Sully | Statement: [Lighting Up the Sky, producer, Erna, Sully]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erna, Sully
Context triple: [Lighting Up the Sky, producer, Erna, Sully]
  • A. Wingo
    Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
  • B. Payette
    Payette is a French-Canadian surname most notably associated with Julie Payette, an engineer, astronaut, and former Governor General of Canada.
  • C. Erma
    Erma is an unincorporated community and census-designated place located within Lower Township in Cape May County, New Jersey.
  • D. Ellise
    Ellise is a feminine given name used in English-speaking countries, often considered a variant of Elise or Alice.
  • E. Arley
    Arley is a small rural town located in Winston County in the U.S. state of Alabama.
  • 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: Erna, Sully
Triple: [Lighting Up the Sky, producer, Erna, Sully]
Generated description
Erna Sully is a music producer known for her work on the project "Lighting Up the Sky."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Erna, Sully
Target entity description: Erna Sully is a music producer known for her work on the project "Lighting Up the Sky."
  • A. Wingo
    Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
  • B. Payette
    Payette is a French-Canadian surname most notably associated with Julie Payette, an engineer, astronaut, and former Governor General of Canada.
  • C. Erma
    Erma is an unincorporated community and census-designated place located within Lower Township in Cape May County, New Jersey.
  • D. Ellise
    Ellise is a feminine given name used in English-speaking countries, often considered a variant of Elise or Alice.
  • E. Arley
    Arley is a small rural town located in Winston County in the U.S. state of Alabama.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312df37081909f45ce3e219af5dc completed April 14, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc34332448190b044f55f0f85d5e2 completed May 6, 2026, 10:40 p.m.
NEDg Description generation batch_69fc43623d608190bee3ebd08ffa01e6 completed May 7, 2026, 7:46 a.m.
NED2 Entity disambiguation (via description) batch_69fc43e71f708190903a63388b664ba5 completed May 7, 2026, 7:48 a.m.
Created at: April 9, 2026, 10:20 p.m.