Triple
T20067956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmire |
E499658
|
entity |
| Predicate | exposesTrait |
P128540
|
FINISHED |
| Object | hypocrisy of Tartuffe |
—
|
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: hypocrisy of Tartuffe | Statement: [Elmire, exposesTrait, hypocrisy of Tartuffe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exposesTrait Context triple: [Elmire, exposesTrait, hypocrisy of Tartuffe]
-
A.
exposesTo
Indicates that one entity subjects another entity to contact with or influence from something, typically involving risk, effect, or experience.
-
B.
exposedThrough
Indicates that something becomes revealed, accessible, or affected as a result of passing through or being subjected to another thing or medium.
-
C.
exposes
Indicates making something visible, known, or vulnerable by removing cover, concealment, or protection.
-
D.
exposedAs
Indicates that one entity reveals or publicly identifies another entity as having a hidden, false, or previously concealed role, identity, or nature.
-
E.
containsTrait
chosen
Indicates that one entity possesses, exhibits, or is characterized by a specified trait.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637ac3fc8190911063b979c3afb8 |
completed | April 20, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:39 p.m.