Triple
T13286165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bonnie Hunt Show |
E316448
|
entity |
| Predicate | filmedBeforeLiveAudience |
P69062
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Bonnie Hunt Show, filmedBeforeLiveAudience, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmedBeforeLiveAudience Context triple: [The Bonnie Hunt Show, filmedBeforeLiveAudience, true]
-
A.
filmedBeforeAudience
chosen
Indicates that the filming of an event, performance, or production took place in front of a live audience.
-
B.
recordedForFilm
Indicates that an audio or performance was captured specifically for use in a film production.
-
C.
hasFilmedStageProduction
Indicates that an entity has created a filmed version of a stage production (such as a play, musical, or live theatrical performance).
-
D.
filmedFor
Indicates that something was recorded or produced specifically for a particular purpose, audience, platform, or project.
-
E.
filmedAs
Indicates that an entity was recorded or captured in a particular form, version, or role during a filming or production process.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.