Triple
T4785042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Saint Jerome |
E106454
|
entity |
| Predicate | femaleBranchType |
P34342
|
FINISHED |
| Object | contemplative nuns |
—
|
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: contemplative nuns | Statement: [Order of Saint Jerome, femaleBranchType, contemplative nuns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleBranchType Context triple: [Order of Saint Jerome, femaleBranchType, contemplative nuns]
-
A.
femaleMass
Indicates that the subject has a mass value specifically associated with its female form or female population.
-
B.
sexType
Indicates the specific category or type of sexual activity or sexual relationship involved between entities.
-
C.
womenStatus
Indicates the social, legal, economic, or cultural position or condition assigned to women within a given context or system.
-
D.
femaleBehavior
Indicates that the behavior or actions being referred to are characteristic of, or typically associated with, females in the given context.
-
E.
genderOfTypicalHolder
chosen
Indicates the gender that is most commonly associated with or typical of the usual holder of something.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65ae49ec81908f16248d22d1155f |
completed | March 20, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.