Triple
T5271858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sister Louise of Mercy |
E119276
|
entity |
| Predicate | socialClassBeforeConvent |
P62758
|
FINISHED |
| Object | French nobility |
—
|
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: French nobility | Statement: [Sister Louise of Mercy, socialClassBeforeConvent, French nobility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialClassBeforeConvent Context triple: [Sister Louise of Mercy, socialClassBeforeConvent, French nobility]
-
A.
socialClassSystem
Indicates a hierarchical organization of people into social classes based on status, power, or economic position.
-
B.
socialClassAtBirth
Indicates the social class or socioeconomic status into which an individual was born.
-
C.
socialClassAspiration
Indicates a desire or intention by one entity to attain a higher or different social class or status than its current one.
-
D.
socialClassAtMarriage
Indicates the social class or status an individual held at the time of their marriage.
-
E.
associatedWithSocialClass
Indicates a relationship in which an entity is linked or connected to a particular social class or socioeconomic stratum.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7d5906d88190b805977e5a05767a |
completed | March 20, 2026, 5:01 p.m. |
Created at: March 20, 2026, 1:51 p.m.