Triple
T28127701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | There You Are |
E710973
|
entity |
| Predicate | hasAudienceAddress |
P173373
|
FINISHED |
| Object | breaks the fourth wall |
—
|
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: breaks the fourth wall | Statement: [There You Are, hasAudienceAddress, breaks the fourth wall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAudienceAddress Context triple: [There You Are, hasAudienceAddress, breaks the fourth wall]
-
A.
hasAudience
Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
-
B.
hasAudienceOrigin
Indicates that an audience is characterized by or associated with a particular geographic, cultural, or demographic origin.
-
C.
hasAudienceResponse
Indicates that an action, event, or communication elicits or is associated with a specific reaction or feedback from an audience.
-
D.
hasAudienceFormat
Indicates that an entity is associated with a particular format or medium in which its audience receives or experiences it.
-
E.
hasAudiencePolicy
Indicates that there is a specified rule or policy governing which audience or group is allowed to access, view, or receive something.
- 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_69ef9b73bd288190a21ae3d6aa14f386 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 27, 2026, 9:21 p.m.