Triple
T20858694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octave Mouret |
E513552
|
entity |
| Predicate | impactOnOthers |
P58916
|
FINISHED |
| Object | ruins small neighborhood shopkeepers |
—
|
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: ruins small neighborhood shopkeepers | Statement: [Octave Mouret, impactOnOthers, ruins small neighborhood shopkeepers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnOthers Context triple: [Octave Mouret, impactOnOthers, ruins small neighborhood shopkeepers]
-
A.
effectOnOthers
chosen
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
B.
impactOnHumans
Indicates a relationship where something produces an effect, influence, or consequence on humans.
-
C.
impactOnOwner
Indicates that one entity has an effect, influence, or consequence on the owner entity.
-
D.
impactOnFamily
Indicates the effect or influence that something has on a family’s situation, dynamics, or well-being.
-
E.
impactDescription
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a9fd7881908ae4c5c63f64efc0 |
completed | April 21, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:44 p.m.