Triple
T6675038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johntá Austin |
E151828
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Love Scene
The Love Scene is an R&B album by singer-songwriter Johntá Austin that showcases his smooth vocals and emotive, romantic songwriting.
|
E612324
|
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: The Love Scene | Statement: [Johntá Austin, notableWork, The Love Scene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Love Scene Context triple: [Johntá Austin, notableWork, The Love Scene]
-
A.
The Love Scene
The Love Scene is a creative work—likely a film, play, or literary piece—best known as one of Joe’s most recognized and discussed projects.
-
B.
The Tavern Scene
The Tavern Scene is a genre painting by Dutch Golden Age artist Abraham Bloemaert depicting lively social life in a rustic inn.
-
C.
Chapel of Love
"Chapel of Love" is a classic pop song, originally made famous by The Dixie Cups in 1964, that has been covered by numerous artists including Bette Midler.
-
D.
Lovers
Lovers is a Spanish film featuring actress Maribel Verdú in one of her notable roles.
-
E.
Two Lovers
Two Lovers is a 2008 romantic drama film directed by James Gray that follows a troubled man torn between a stable relationship and a passionate but complicated affair.
- 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: The Love Scene Triple: [Johntá Austin, notableWork, The Love Scene]
Generated description
The Love Scene is an R&B album by singer-songwriter Johntá Austin that showcases his smooth vocals and emotive, romantic songwriting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Love Scene Target entity description: The Love Scene is an R&B album by singer-songwriter Johntá Austin that showcases his smooth vocals and emotive, romantic songwriting.
-
A.
The Love Scene
The Love Scene is a creative work—likely a film, play, or literary piece—best known as one of Joe’s most recognized and discussed projects.
-
B.
The Tavern Scene
The Tavern Scene is a genre painting by Dutch Golden Age artist Abraham Bloemaert depicting lively social life in a rustic inn.
-
C.
Chapel of Love
"Chapel of Love" is a classic pop song, originally made famous by The Dixie Cups in 1964, that has been covered by numerous artists including Bette Midler.
-
D.
Lovers
Lovers is a Spanish film featuring actress Maribel Verdú in one of her notable roles.
-
E.
Two Lovers
Two Lovers is a 2008 romantic drama film directed by James Gray that follows a troubled man torn between a stable relationship and a passionate but complicated affair.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0f3021481908c2599349eb6ea07 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7a30b7481908c36ff9035f62731 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6faa22e748190ab7a06ef84d695f6 |
completed | March 27, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6fb85632081908bbb66ea35ce97c8 |
completed | March 27, 2026, 9:49 p.m. |
Created at: March 27, 2026, 2:03 p.m.