Triple
T33765645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geneviève Emery |
E865220
|
entity |
| Predicate | decisionInfluencedBy |
P179868
|
FINISHED |
| Object | mother |
—
|
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: mother | Statement: [Geneviève Emery, decisionInfluencedBy, mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisionInfluencedBy Context triple: [Geneviève Emery, decisionInfluencedBy, mother]
-
A.
designDecisionsInfluencedBy
Indicates that one entity’s design decisions are shaped, guided, or affected by another entity or factor.
-
B.
influenceOf
Indicates that one entity affects, shapes, or alters the state, behavior, or properties of another entity.
-
C.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
-
D.
decisionEffect
Indicates that one decision leads to, influences, or determines a particular outcome or consequence.
-
E.
rulesInfluence
Indicates that one set of rules or regulations has an effect on, shapes, or constrains another entity, process, or outcome.
- 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f728a345488190bd7e6751b09ac591 |
completed | May 3, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69f7283ef2608190a7a85d7e7f5332c0 |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f728a1a0d081909e1b4465e7b88390 |
completed | May 3, 2026, 10:51 a.m. |
Created at: May 1, 2026, 1:45 a.m.