Triple
T37223093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Decay of the Art of Lying |
E922936
|
entity |
| Predicate | portraysLyingAs |
P105134
|
FINISHED |
| Object | an art that can be refined |
—
|
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: an art that can be refined | Statement: [On the Decay of the Art of Lying, portraysLyingAs, an art that can be refined]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysLyingAs Context triple: [On the Decay of the Art of Lying, portraysLyingAs, an art that can be refined]
-
A.
liesUpon
Indicates that one entity is positioned resting directly on the surface of another entity.
-
B.
portraysPersonAs
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
-
C.
portraysFictionalized
chosen
Indicates that one entity represents or depicts another entity in a fictionalized or altered manner, rather than as a strictly accurate portrayal.
-
D.
liesToThe
Indicates that one entity intentionally provides false or misleading information to another entity.
-
E.
oftenDeceives
Indicates that one entity frequently engages in deceptive behavior toward 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff97637ad881908c24fe2cc6b036db |
completed | May 9, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69ff96c43a808190942eeda1934602db |
completed | May 9, 2026, 8:19 p.m. |
Created at: May 3, 2026, 4:15 p.m.