Triple
T5202506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Knights |
E117425
|
entity |
| Predicate | rhetoricalRole |
P15535
|
FINISHED |
| Object | break 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: break the fourth wall | Statement: [Three Knights, rhetoricalRole, break the fourth wall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rhetoricalRole Context triple: [Three Knights, rhetoricalRole, break the fourth wall]
-
A.
speakerRole
Indicates the functional role or capacity in which an entity is acting as a speaker within a communicative event.
-
B.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
C.
literaryRole
chosen
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
D.
encodingRole
Indicates the role or function an entity has in the process of encoding information into a particular form or representation.
-
E.
rhetoricalStyle
Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.