Triple
T9209575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Pro (14-inch, 2021) |
E221076
|
entity |
| Predicate | introducedRedesignedChassis |
P70881
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [MacBook Pro (14-inch, 2021), introducedRedesignedChassis, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedRedesignedChassis Context triple: [MacBook Pro (14-inch, 2021), introducedRedesignedChassis, true]
-
A.
redesigned
Indicates that an entity has been modified or created anew in terms of its structure, appearance, or functionality, replacing a previous design.
-
B.
redesignYear
Indicates the year in which something was redesigned or underwent a significant design revision.
-
C.
engineIntroduced
Indicates that a particular engine was first introduced or brought into use at a specific time or in a specific context.
-
D.
hasDesignChange
chosen
Indicates that an entity has undergone a modification or alteration to its original design.
-
E.
rebootOf
Indicates that one work is a new version that restarts or reimagines the story, continuity, or franchise of another earlier work.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| PD | Predicate disambiguation | batch_69cc660af2408190ae06eb8326e1c64e |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:26 p.m.