Triple
T5048456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret McGrath Rockefeller |
E113724
|
entity |
| Predicate | genre of activity |
P8834
|
FINISHED |
| Object | charitable giving |
—
|
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: charitable giving | Statement: [Margaret McGrath Rockefeller, genre of activity, charitable giving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genre of activity Context triple: [Margaret McGrath Rockefeller, genre of activity, charitable giving]
-
A.
activityType
chosen
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
B.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
C.
genreOfPoliticalActivity
Indicates the specific type or category of political activity that characterizes or classifies a given political action or engagement.
-
D.
typeOfEvent
Indicates that one entity is classified as a specific kind or category of event.
-
E.
typeDiscipline
Indicates that an entity is associated with, categorized under, or characterized by a particular discipline or field of study.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7401419081909ba62b9c27f770c4 |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.