Triple
T12486170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Mauboy |
E298437
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Glow
"Glow" is a pop song by Australian singer Jessica Mauboy, showcasing her soulful vocals and contemporary R&B-influenced style.
|
E983834
|
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: Glow | Statement: [Jessica Mauboy, notableWork, Glow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glow Context triple: [Jessica Mauboy, notableWork, Glow]
-
A.
Glow
"Glow" is a song featured on Kelly Clarkson's holiday album "When Christmas Comes Around..." that showcases her soulful vocals in a festive, contemporary pop setting.
-
B.
Glow
"Glow" is a track by the artist Tasty, likely featuring an energetic, electronic-influenced sound characteristic of their music style.
-
C.
Glow
Glow is a generative flow-based model architecture used for high-quality image and audio synthesis through invertible transformations.
-
D.
The Glow
The Glow is a track by American producer and DJ RJD2, known for its richly layered, sample-based instrumental hip-hop sound.
-
E.
Glitter
Glitter is a 2001 musical romantic drama film starring Mariah Carey as an aspiring singer navigating love and the music industry in 1980s New York City.
- 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: Glow Triple: [Jessica Mauboy, notableWork, Glow]
Generated description
"Glow" is a pop song by Australian singer Jessica Mauboy, showcasing her soulful vocals and contemporary R&B-influenced style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glow Target entity description: "Glow" is a pop song by Australian singer Jessica Mauboy, showcasing her soulful vocals and contemporary R&B-influenced style.
-
A.
Glow
"Glow" is a song featured on Kelly Clarkson's holiday album "When Christmas Comes Around..." that showcases her soulful vocals in a festive, contemporary pop setting.
-
B.
Glow
"Glow" is a track by the artist Tasty, likely featuring an energetic, electronic-influenced sound characteristic of their music style.
-
C.
Glow
Glow is a generative flow-based model architecture used for high-quality image and audio synthesis through invertible transformations.
-
D.
The Glow
The Glow is a track by American producer and DJ RJD2, known for its richly layered, sample-based instrumental hip-hop sound.
-
E.
Glitter
Glitter is a 2001 musical romantic drama film starring Mariah Carey as an aspiring singer navigating love and the music industry in 1980s New York City.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de077bc81908b5ff057a1bf2b4f |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2b5ed481909ead4f5b96d44064 |
completed | May 2, 2026, 6:15 p.m. |
| NEDg | Description generation | batch_69f6401199408190ad2657802afd93c9 |
completed | May 2, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64168d23881908daee7d7cba2160d |
completed | May 2, 2026, 6:24 p.m. |
Created at: April 8, 2026, 9:56 p.m.