Triple
T36407204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basil Hallward's portrait |
E896777
|
entity |
| Predicate | effectOnDorian |
P157510
|
FINISHED |
| Object | encourages secrecy and hypocrisy |
—
|
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: encourages secrecy and hypocrisy | Statement: [Basil Hallward's portrait, effectOnDorian, encourages secrecy and hypocrisy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnDorian Context triple: [Basil Hallward's portrait, effectOnDorian, encourages secrecy and hypocrisy]
-
A.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
B.
اثر
chosen
Indicates a causal or influential relationship where one entity produces, changes, or leaves an impact on another.
-
C.
اثر
Indicates that one entity has an effect, influence, or impact on another entity.
-
D.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
-
E.
effectOnOthers
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: May 3, 2026, 4:10 p.m.