Triple
T36523099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duff's device |
E900227
|
entity |
| Predicate | firstUseDomain |
P204915
|
FINISHED |
| Object | graphics programming |
—
|
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: graphics programming | Statement: [Duff's device, firstUseDomain, graphics programming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUseDomain Context triple: [Duff's device, firstUseDomain, graphics programming]
-
A.
firstUsedAs
Indicates that one entity was the earliest or original thing in which another entity was used or applied.
-
B.
firstUsedFor
Indicates that one entity was the earliest or original thing for which another entity was used or applied.
-
C.
firstUsedAt
Indicates the time or place at which something was initially used or put into operation.
-
D.
firstFlightUse
Indicates that an entity is being used or operated for the very first time in a flight.
-
E.
firstUsedBy
Indicates that something was initially utilized, applied, or employed by a particular entity before any others.
- F. None of above. chosen
Provenance (4 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_69f76e5eedb88190a393b8c623f71dd7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:11 p.m.