Triple
T32710346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harriet Boulton Smith |
E836380
|
entity |
| Predicate | roleAtTheGrange |
P177799
|
FINISHED |
| Object | cultural patron |
—
|
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: cultural patron | Statement: [Harriet Boulton Smith, roleAtTheGrange, cultural patron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtTheGrange Context triple: [Harriet Boulton Smith, roleAtTheGrange, cultural patron]
-
A.
roleAtStrawberryHill
Indicates that an entity holds or held a specific role or position at Strawberry Hill.
-
B.
roleAtHoney
Indicates that an entity holds or held a specific role or position at the organization Honey.
-
C.
roleAtVine
Indicates that an entity holds or held a specific role or position at the company Vine.
-
D.
roleOnGR20
Indicates the specific function or position an entity holds in the context of the GR20 (e.g., within an activity, project, or system labeled GR20).
-
E.
farmSystemRole
Indicates the specific function, responsibility, or position an entity holds within an agricultural or farm management system.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f70519f114819080659840c04d7911 |
completed | May 3, 2026, 8:19 a.m. |
Created at: May 1, 2026, 1:10 a.m.