Triple
T8973203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C.C. White |
E214317
|
entity |
| Predicate | hasSiblingRelationshipType |
P7844
|
FINISHED |
| Object | younger brother of Effie White |
—
|
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: younger brother of Effie White | Statement: [C.C. White, hasSiblingRelationshipType, younger brother of Effie White]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSiblingRelationshipType Context triple: [C.C. White, hasSiblingRelationshipType, younger brother of Effie White]
-
A.
hasNeighborRelationshipWith
Indicates that one entity is located adjacent to or directly next to another entity, sharing a neighbor relationship.
-
B.
hasSymbolicRelationshipType
Indicates that there exists a symbolic (non-literal) relationship of a specified type between two entities.
-
C.
hasSisterCityRelationshipType
Indicates a formal sister-city partnership relationship that exists between two municipalities or cities.
-
D.
hasFamilialTieTo
chosen
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
-
E.
parentRelationship
Indicates a familial relationship in which one entity is the parent of another entity.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc678242908190a32a73423319ebb3 |
completed | April 1, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:02 p.m.