Triple
T27050528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turtle Shoes |
E684755
|
entity |
| Predicate | hasIntendedAudienceReaction |
P192042
|
FINISHED |
| Object | amusement |
—
|
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: amusement | Statement: [Turtle Shoes, hasIntendedAudienceReaction, amusement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntendedAudienceReaction Context triple: [Turtle Shoes, hasIntendedAudienceReaction, amusement]
-
A.
hasAudienceReactionType
Indicates the specific type or category of reaction an audience has in response to something (e.g., content, an event, or a performance).
-
B.
isAReactionTo
Indicates that one event, action, or state occurs as a direct response or consequence of another.
-
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.
intendedAudienceInteraction
Indicates that one entity is the target group or audience with whom another entity is meant to interact or engage.
-
E.
hasUserAttitude
Indicates that one entity holds a particular attitude, opinion, or evaluative stance toward another entity or subject.
- 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69fcf36bb86c8190a0a0ccf47cb56e5c |
completed | May 7, 2026, 8:17 p.m. |
Created at: April 27, 2026, 8:13 a.m.