Triple
T20680002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asmodeus |
E508265
|
entity |
| Predicate | associatedSinInSomeSources |
P134554
|
FINISHED |
| Object | gambling |
—
|
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: gambling | Statement: [Asmodeus, associatedSinInSomeSources, gambling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedSinInSomeSources Context triple: [Asmodeus, associatedSinInSomeSources, gambling]
-
A.
associatedSin
chosen
Indicates a relationship where one entity is linked or connected to a particular sin or wrongful act.
-
B.
associatedWithSee
Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
-
C.
associatedDam
Indicates a relationship where one entity is linked or connected to a specific dam, typically as its related or corresponding dam structure.
-
D.
associatedFair
Indicates a relationship where one entity is linked or connected to a particular fair, such as being held at, organized by, or otherwise related to that fair.
-
E.
associatedGens
Indicates a relationship where one entity is linked or connected to one or more genes in some relevant biological or functional 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea516b88190b3e90d03fa981a44 |
completed | April 21, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:44 a.m.