Triple
T26122603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amalia of Nassau-Dietz |
E659012
|
entity |
| Predicate | typeOfMonasticLeader |
P70093
|
FINISHED |
| Object | imperial abbess |
—
|
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: imperial abbess | Statement: [Amalia of Nassau-Dietz, typeOfMonasticLeader, imperial abbess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMonasticLeader Context triple: [Amalia of Nassau-Dietz, typeOfMonasticLeader, imperial abbess]
-
A.
typeOfMonk
Indicates that one entity is a specific kind or category of monk in relation to another entity.
-
B.
religiousFigureType
chosen
Indicates the specific role or category of a person recognized as a religious figure (e.g., priest, monk, prophet) within a religious context.
-
C.
spiritualLeaderOf
Indicates that one entity serves as the primary religious or spiritual guide, authority, or mentor for another entity or group.
-
D.
headOfReligion
Indicates that one entity serves as the supreme leader or highest authority of a particular religion or religious organization.
-
E.
wasMonkOf
Indicates that a person was a member or monk belonging to a particular religious order, monastery, or monastic community.
- 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_69ee5bc2b2948190b458ad3f580af779 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 26, 2026, 8:09 p.m.