Triple
T16702293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacKenzie Scott |
E405881
|
entity |
| Predicate | signed |
P173
|
FINISHED |
| Object | Giving Pledge |
E1128
|
NE 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: Giving Pledge | Statement: [MacKenzie Scott, signed, Giving Pledge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giving Pledge Context triple: [MacKenzie Scott, signed, Giving Pledge]
-
A.
The Giving Pledge
chosen
The Giving Pledge is a philanthropic campaign that encourages the world’s wealthiest individuals and families to commit the majority of their wealth to charitable causes during their lifetimes or in their wills.
-
B.
Please Give
Please Give is a 2010 indie dramedy film written and directed by Nicole Holofcener that explores guilt, privilege, and urban relationships among affluent New Yorkers.
-
C.
Pledging My Time
"Pledging My Time" is a blues-influenced song by Bob Dylan from his landmark 1966 album Blonde on Blonde.
-
D.
We Pledge
We Pledge is the English title of "Kassaman," the national anthem of Algeria, known for its themes of resistance and independence.
-
E.
Giving
Giving is the sequel to Bill Clinton’s memoir "My Life," focusing on philanthropy and the power of citizen service to change the world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a0dee08190a67ed5df2008c91e |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.