Triple
T35831127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Slater |
E1035800
|
entity |
| Predicate | soapOperaGenre |
P130130
|
FINISHED |
| Object | British television soap opera |
—
|
LITERAL 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: British television soap opera | Statement: [Sean Slater, soapOperaGenre, British television soap opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soapOperaGenre Context triple: [Sean Slater, soapOperaGenre, British television soap opera]
-
A.
soapOpera
chosen
Indicates a relationship where an entity is characterized as, or participates in, a melodramatic, serialized narrative typically focused on interpersonal and emotional conflicts.
-
B.
operaGenre
Indicates that an opera belongs to or is categorized under a particular musical or dramatic genre.
-
C.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
D.
tipoDiOpera
Indicates that one entity is classified as a specific type or category of work (e.g., artwork, project, or production) in relation to another entity.
-
E.
theatricalGenre
Indicates the specific theatrical genre or style to which a performance, play, or production belongs.
- F. None of above.
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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.