Triple
T2714300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khan Lab School |
E59931
|
entity |
| Predicate | hasFounderNotableFor |
P34633
|
FINISHED |
| Object | founding Khan Academy |
—
|
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: founding Khan Academy | Statement: [Khan Lab School, hasFounderNotableFor, founding Khan Academy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFounderNotableFor Context triple: [Khan Lab School, hasFounderNotableFor, founding Khan Academy]
-
A.
hasNotableFounder
Indicates that an entity was founded or established by a person or organization considered especially significant or noteworthy.
-
B.
founderKnownFor
chosen
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
-
C.
holderNotableFor
Indicates that a holder (such as a person or organization) is particularly known or recognized for a specific role, achievement, work, or characteristic.
-
D.
notableCulturalFigure
Indicates that a person holds significant influence or recognition within a culture’s arts, traditions, values, or public life.
-
E.
notableHistoricalEntity
Indicates that an entity holds recognized historical significance or prominence within a historical 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda93a2388190b55a1c821ef6bc64 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.