Triple
T26314877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlton Elizabeth Gebbia |
E661941
|
entity |
| Predicate | realityTVGenre |
P30079
|
FINISHED |
| Object | docu-soap |
—
|
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: docu-soap | Statement: [Carlton Elizabeth Gebbia, realityTVGenre, docu-soap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realityTVGenre Context triple: [Carlton Elizabeth Gebbia, realityTVGenre, docu-soap]
-
A.
hasRealityTVSeries
Indicates that an entity is the subject or focus of a reality television series.
-
B.
networkOfRealityShow
Indicates that a particular reality show is broadcast or produced by a specific television network.
-
C.
hasRealityTVElement
Indicates that something includes characteristics, themes, or stylistic features commonly associated with reality television.
-
D.
realityShowPlacement
Indicates the final standing or rank an individual or team achieved in a reality television competition.
-
E.
entertainmentType
chosen
Indicates the kind or category of entertainment associated with an entity or event.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 26, 2026, 10:24 p.m.