Triple
T7849476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Religious of the Sacred Heart of Mary |
E182006
|
entity |
| Predicate | lifeStyle |
P3562
|
FINISHED |
| Object | community life |
—
|
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: community life | Statement: [Religious of the Sacred Heart of Mary, lifeStyle, community life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifeStyle Context triple: [Religious of the Sacred Heart of Mary, lifeStyle, community life]
-
A.
lifestyle
chosen
Indicates that an entity’s way of living or habitual behaviors are associated with, influence, or characterize another entity or outcome.
-
B.
lifeHabit
Indicates the typical way an organism lives or behaves in its environment, such as its mode of life, activity pattern, or ecological lifestyle.
-
C.
fashionStyle
Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
-
D.
styleCategory
Indicates the stylistic classification or genre category that an item, work, or entity belongs to.
-
E.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18e989ac819090e459b77d8932d3 |
completed | March 31, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:50 p.m.