Triple
T31101248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Comedienne |
E792676
|
entity |
| Predicate | approachToJustice |
P169760
|
FINISHED |
| Object | pragmatic |
—
|
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: pragmatic | Statement: [The Comedienne, approachToJustice, pragmatic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachToJustice Context triple: [The Comedienne, approachToJustice, pragmatic]
-
A.
seeksJusticeAgainst
Indicates that one entity actively pursues legal or moral accountability or retribution directed at another entity.
-
B.
stanceOnJustice
chosen
Indicates a subject’s expressed position, attitude, or viewpoint regarding matters of justice or fairness.
-
C.
hadJusticeOf
Indicates that an entity was served or presided over by a particular justice or judicial officer.
-
D.
hasJustice
Indicates that an entity possesses, upholds, or embodies justice in its actions, qualities, or governing principles.
-
E.
broughtToJusticeBy
Indicates that an entity was held accountable or punished for wrongdoing through the efforts or actions of another entity.
- 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_69f224cf157c81909e2d2bd88c9282c3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: April 29, 2026, 9:03 p.m.