Triple
T29364193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM PCjr |
E744670
|
entity |
| Predicate | keyboardNickname |
P167136
|
FINISHED |
| Object | chiclet keyboard |
—
|
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: chiclet keyboard | Statement: [IBM PCjr, keyboardNickname, chiclet keyboard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyboardNickname Context triple: [IBM PCjr, keyboardNickname, chiclet keyboard]
-
A.
mouseNickname
Indicates that one entity is used as a nickname or informal name for a mouse-related entity (such as a mouse character, device, or individual associated with mice).
-
B.
keyboardFeature
Indicates that one entity is a feature, characteristic, or functional attribute of a keyboard.
-
C.
keyboards
Indicates that an entity uses or operates a keyboard to input data or control another entity.
-
D.
keyboardsBy
Indicates that one entity is the creator, manufacturer, or provider of keyboards associated with another entity.
-
E.
keyHitter
Indicates that an entity is a powerful or highly effective performer, especially in a competitive or performance-based context.
- 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6698a5c608190b80127eb9605ab60 |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 28, 2026, 2:21 p.m.