Triple
T9735305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skoll Foundation |
E236041
|
entity |
| Predicate | hasMediaFocus |
P10167
|
FINISHED |
| Object | storytelling to drive social change |
—
|
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: storytelling to drive social change | Statement: [Skoll Foundation, hasMediaFocus, storytelling to drive social change]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMediaFocus Context triple: [Skoll Foundation, hasMediaFocus, storytelling to drive social change]
-
A.
hasActingFocus
Indicates that an entity is the primary performer or focal agent carrying out an action in a given context.
-
B.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
C.
hasPrimaryFocus
chosen
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
-
D.
hasFocusSystem
Indicates that one entity is the primary system or subsystem that another entity is currently directing its attention, control, or processing resources toward.
-
E.
haveFocusSystem
Indicates that an entity is currently the primary target or active focus within a system or context.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eee70d48190af5a833d7b33aaa5 |
completed | April 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:22 p.m.