Triple
T22493834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Wimschneider (character) |
E556086
|
entity |
| Predicate | lifeCircumstances |
P146005
|
FINISHED |
| Object | poverty |
—
|
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: poverty | Statement: [Anna Wimschneider (character), lifeCircumstances, poverty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifeCircumstances Context triple: [Anna Wimschneider (character), lifeCircumstances, poverty]
-
A.
lifeSituation
chosen
Indicates the general circumstances, conditions, or context in which an entity’s life currently exists or unfolds.
-
B.
settingOfLifeEvents
Indicates the location or environment in which significant life events of an entity take place.
-
C.
controlsAspectOfLife
Indicates that one entity has power or authority to determine, regulate, or strongly influence a particular aspect or domain of another entity’s life.
-
D.
inPersonalLifeImplies
Indicates that a condition or fact in a person's private or non-professional life logically leads to, or has consequences for, another situation or fact.
-
E.
lifeStatus
Indicates the current state of an entity’s existence, such as whether it is alive, dead, or in another defined life condition.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb0dfb88190a4175e5e95d7ad4b |
completed | April 29, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.