Triple
T25831921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Say goodnight, Gracie" closing routine |
E650685
|
entity |
| Predicate | associatedShowFormat |
P195992
|
FINISHED |
| Object | variety comedy show |
—
|
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: variety comedy show | Statement: ["Say goodnight, Gracie" closing routine, associatedShowFormat, variety comedy show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedShowFormat Context triple: ["Say goodnight, Gracie" closing routine, associatedShowFormat, variety comedy show]
-
A.
associatedShowType
Indicates a relationship where one entity is linked to the type or category of show with which it is associated.
-
B.
associatedShow
Indicates a relationship where one entity is linked or connected to a particular show (e.g., as its subject, source, or related program).
-
C.
relatedFormat
Indicates that two resources are available in different but closely related formats or media representations of essentially the same content.
-
D.
featuredOnFormat
Indicates that something is prominently presented or highlighted within a particular medium, channel, or content format.
-
E.
inSeriesFormat
Indicates that one entity is organized or presented as part of a sequential series format relative to another entity.
- F. None of above. chosen
Provenance (4 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
| PDg | Predicate description generation | batch_69fe00d8d8248190a63c12aa2c2f7c0c |
completed | May 8, 2026, 3:27 p.m. |
Created at: April 22, 2026, 7:39 a.m.