Triple
T26088700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Merc with a Mouth |
E658057
|
entity |
| Predicate | describesSpeechStyle |
P48733
|
FINISHED |
| Object | constant joking |
—
|
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: constant joking | Statement: [The Merc with a Mouth, describesSpeechStyle, constant joking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesSpeechStyle Context triple: [The Merc with a Mouth, describesSpeechStyle, constant joking]
-
A.
rhetoricalStyle
Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
-
B.
styleDescribedAs
chosen
Indicates that the manner, aesthetic, or mode of something is characterized or labeled using a particular style description.
-
C.
commentarialStyle
Indicates the manner or approach taken in writing or presenting commentary on a text, event, or subject.
-
D.
monologueStyle
Indicates that an entity delivers or is presented in a monologue format, characterized by a single voice speaking at length without direct interaction from others.
-
E.
speakerFeatures
Indicates that certain characteristics, attributes, or properties are associated with a speaker in a given context.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 26, 2026, 7:45 p.m.