Triple
T31542397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klara Dan von Neumann |
E804779
|
entity |
| Predicate | programmedFor |
P162319
|
FINISHED |
| Object | thermonuclear weapons calculations |
—
|
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: thermonuclear weapons calculations | Statement: [Klara Dan von Neumann, programmedFor, thermonuclear weapons calculations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programmedFor Context triple: [Klara Dan von Neumann, programmedFor, thermonuclear weapons calculations]
-
A.
programmedVia
Indicates that one entity is created, configured, or made to operate through the use of another entity as its programming method, tool, or medium.
-
B.
programmedPurpose
chosen
Indicates that an entity has been intentionally designed or configured to fulfill a specific function, goal, or behavior.
-
C.
madeProgram
Indicates that one entity created, developed, or authored a program (such as software or a coded application).
-
D.
intendedProgram
Indicates the academic or training program that an entity plans or expects to pursue, rather than one they are currently enrolled in or have completed.
-
E.
developedForProgram
Indicates that something was created, designed, or produced specifically to be used in or support a particular program.
- 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 30, 2026, 10:06 p.m.