Triple
T29824578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domovoi |
E757345
|
entity |
| Predicate | behaviorTowardDiligentPeople |
P167907
|
FINISHED |
| Object | helps with household chores |
—
|
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: helps with household chores | Statement: [Domovoi, behaviorTowardDiligentPeople, helps with household chores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: behaviorTowardDiligentPeople Context triple: [Domovoi, behaviorTowardDiligentPeople, helps with household chores]
-
A.
workBehavior
Indicates how an entity typically acts, performs, or conducts itself in a work or professional context.
-
B.
focusesOnWork
Indicates that an entity directs its attention, effort, or primary activity toward work-related tasks or responsibilities.
-
C.
behaviorNear
Indicates that one entity exhibits a behavior or action in close spatial proximity to another entity.
-
D.
oftenDedicatedTo
Indicates that something is frequently or habitually devoted, assigned, or committed to a particular purpose, activity, or recipient.
-
E.
moralPositionInWork
Indicates the moral or ethical stance that an entity holds or expresses within a particular work (such as a text, artwork, or performance).
- F. None of above. chosen
Provenance (4 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67596b610819088e85360aafa860c |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 29, 2026, 5:31 p.m.