Triple
T8487933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryan Johnson |
E200877
|
entity |
| Predicate | BraintreeAcquisitionYear |
P15703
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Bryan Johnson, BraintreeAcquisitionYear, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BraintreeAcquisitionYear Context triple: [Bryan Johnson, BraintreeAcquisitionYear, 2013]
-
A.
accessionYear
Indicates the calendar year in which an item, record, or entity was formally added to or registered within a collection, system, or institution.
-
B.
acquisitionCompletedYear
chosen
Indicates the calendar year in which an acquisition transaction was fully completed.
-
C.
declaredYear
Indicates the year in which something was formally announced, established, or proclaimed.
-
D.
authorizationYear
Indicates the year in which an official approval, permission, or authorization for something was granted.
-
E.
banYear
Indicates the year in which a ban was enacted or came into effect on the related entity or activity.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe556b5188190b1124effd7445803 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:13 p.m.