Triple
T7577807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourke |
E179401
|
entity |
| Predicate | hasSocialRoleHistorically |
P43278
|
FINISHED |
| Object | landed gentry in Ireland |
—
|
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: landed gentry in Ireland | Statement: [Bourke, hasSocialRoleHistorically, landed gentry in Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocialRoleHistorically Context triple: [Bourke, hasSocialRoleHistorically, landed gentry in Ireland]
-
A.
hasHistoricalRoleAs
Indicates that an entity has served in a specific historical capacity, function, or position during a particular period or context.
-
B.
hasSocialPosition
chosen
Indicates that an entity occupies or is assigned a particular social status, role, or rank within a social structure or hierarchy.
-
C.
hasHistoricalProponent
Indicates that an entity has been advocated, supported, or promoted by a specific person or group in the past.
-
D.
hasHistoricalContext
Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
-
E.
hasHistoricalOccupationTool
Indicates that an entity historically used or was associated with a particular tool in the context of its occupation or trade.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94cdbec81909f2ba7ce04e49931 |
completed | March 27, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e04c2c8190a889d928515d9b8e |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.