Triple
T23045262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mr. Magoo Show |
E573858
|
entity |
| Predicate | hasAudienceReactionType |
P150774
|
FINISHED |
| Object | laughter |
—
|
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: laughter | Statement: [The Mr. Magoo Show, hasAudienceReactionType, laughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAudienceReactionType Context triple: [The Mr. Magoo Show, hasAudienceReactionType, laughter]
-
A.
hasAudienceReception
Indicates the relationship between a work or event and how it is received, perceived, or evaluated by its audience.
-
B.
hasAudience
Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
-
C.
hasAudienceExpectation
Indicates that one entity holds assumptions or anticipates certain reactions, knowledge, or behavior from its audience in relation to another entity or context.
-
D.
hasAudienceParticipation
Indicates that an event, performance, or activity involves direct participation or interaction from the audience.
-
E.
hasAudienceLevel
Indicates that something is intended for, suitable for, or targeted at an audience with a specific level of knowledge, experience, or proficiency.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1851811e08190a5af6a112687327e |
completed | April 29, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:54 p.m.