Triple
T8885549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Foot |
E211519
|
entity |
| Predicate | audienceReaction |
P15291
|
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: [Magic Foot, audienceReaction, laughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audienceReaction Context triple: [Magic Foot, audienceReaction, laughter]
-
A.
hasAudienceReception
chosen
Indicates the relationship between a work or event and how it is received, perceived, or evaluated by its audience.
-
B.
audienceScale
Indicates the relative size or reach of the audience associated with an entity, event, or communication.
-
C.
attractsAudience
Indicates that an entity draws the interest or attention of people who choose to watch, listen to, or engage with it.
-
D.
featuresReaction
Indicates that one entity exhibits, displays, or includes a particular reaction associated with another entity or context.
-
E.
reaction
Indicates a chemical or physical process in which one set of substances or conditions transforms into another, often involving interaction, change, or response between entities.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618bd30881909e54d0708f144786 |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:53 p.m.