Triple
T16702304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacKenzie Scott |
E405881
|
entity |
| Predicate | hasGivenAway |
P50434
|
FINISHED |
| Object | tens of billions of US dollars |
—
|
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: tens of billions of US dollars | Statement: [MacKenzie Scott, hasGivenAway, tens of billions of US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenAway Context triple: [MacKenzie Scott, hasGivenAway, tens of billions of US dollars]
-
A.
giftedBy
Indicates that one entity has given or presented another entity as a gift to a recipient.
-
B.
hasGiven
chosen
Indicates that one entity has transferred or presented something to another entity.
-
C.
canGive
Indicates that one entity has the ability or permission to transfer something to another entity.
-
D.
originallyGivenTo
Indicates that something was first transferred, assigned, or presented to a particular recipient before any later changes in ownership or status.
-
E.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383326d7081909ef4c3b724876513 |
completed | April 18, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.