Triple
T6523406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Loretta Young Show |
E151242
|
entity |
| Predicate | hostAppearanceStyle |
P61564
|
FINISHED |
| Object | glamorous |
—
|
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: glamorous | Statement: [The Loretta Young Show, hostAppearanceStyle, glamorous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostAppearanceStyle Context triple: [The Loretta Young Show, hostAppearanceStyle, glamorous]
-
A.
hostStarColor
Indicates the color characteristic of a star that serves as the host in the relationship.
-
B.
mediaAppearanceType
Indicates the specific kind or category of media appearance associated with an entity (e.g., interview, feature, cameo, or performance).
-
C.
hostType
Indicates the category or kind of host associated with or responsible for the related entity or activity.
-
D.
userInterfaceStyle
Indicates the visual presentation mode or theme (such as light or dark) that the user interface is currently using or configured to use.
-
E.
typicalVisualStyle
chosen
Indicates the characteristic or commonly observed visual appearance or aesthetic style associated with an entity.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad970afc81909d3231203eacf413 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:45 p.m.