Triple
T14046491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lighting Up the Sky |
E337968
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Erna, Sully |
E1076082
|
NE FINISHED |
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: Erna, Sully | Statement: [Lighting Up the Sky, performer, Erna, Sully]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erna, Sully Context triple: [Lighting Up the Sky, performer, Erna, Sully]
-
A.
Erna, Sully
chosen
Erna Sully is a music producer known for her work on the project "Lighting Up the Sky."
-
B.
Wingo
Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
-
C.
Payette
Payette is a French-Canadian surname most notably associated with Julie Payette, an engineer, astronaut, and former Governor General of Canada.
-
D.
Erma
Erma is an unincorporated community and census-designated place located within Lower Township in Cape May County, New Jersey.
-
E.
Ellise
Ellise is a feminine given name used in English-speaking countries, often considered a variant of Elise or Alice.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69fcb65c1a90819097754497f07f5312 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.