Triple
T21443890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atufal |
E529017
|
entity |
| Predicate | relationToBabo |
P144366
|
FINISHED |
| Object | part of the enslaved Africans under Babo’s leadership |
—
|
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: part of the enslaved Africans under Babo’s leadership | Statement: [Atufal, relationToBabo, part of the enslaved Africans under Babo’s leadership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToBabo Context triple: [Atufal, relationToBabo, part of the enslaved Africans under Babo’s leadership]
-
A.
relationshipToRelative
Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
-
B.
relationshipToMother
Indicates the specific familial or social connection an entity has to its mother.
-
C.
relationshipToParents
Indicates the type or nature of a person's familial relationship to their parents.
-
D.
relationshipToYoungerFamily
Indicates a familial relationship where one person is related to another who is younger in age within the family.
-
E.
relationToVonMaur
Indicates a specified type of relationship or association that an entity has with Von Maur.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b7055d148190ae3b52e10abd8fd2 |
completed | April 22, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63d2aca38819094d312078feaa436 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 16, 2026, 6:05 p.m.