Triple
T8487939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryan Johnson |
E200877
|
entity |
| Predicate | OSFundFocus |
P72661
|
FINISHED |
| Object | science and technology startups |
—
|
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: science and technology startups | Statement: [Bryan Johnson, OSFundFocus, science and technology startups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OSFundFocus Context triple: [Bryan Johnson, OSFundFocus, science and technology startups]
-
A.
fundingFocus
chosen
Indicates that one entity’s funding is directed toward or prioritized for a particular target, theme, or area of activity.
-
B.
operatesFund
Indicates that an entity manages and runs the activities or investments of a particular fund.
-
C.
programFocus
Indicates that an educational or training program is primarily oriented around or concentrated on a particular subject, theme, or objective.
-
D.
distributionFocus
Indicates that the primary emphasis or priority within a process, strategy, or system is placed on how something is distributed or allocated.
-
E.
programmingFocus
Indicates a relationship where an entity’s primary attention, effort, or specialization is directed toward a particular area or aspect of programming.
- 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.