Triple
T663646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macintosh Plus |
E12810
|
entity |
| Predicate | notableLongevity |
P22
|
FINISHED |
| Object | one of the longest‑selling early Macintosh models |
—
|
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: one of the longest‑selling early Macintosh models | Statement: [Macintosh Plus, notableLongevity, one of the longest‑selling early Macintosh models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLongevity Context triple: [Macintosh Plus, notableLongevity, one of the longest‑selling early Macintosh models]
-
A.
notableDeath
Indicates that an entity’s death is considered significant or noteworthy in some context.
-
B.
notableGeneration
Indicates that an entity is particularly distinguished or recognized among a specific generation or cohort.
-
C.
notableFor
chosen
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
D.
ageAtNobelPrize
Indicates the age a person was when they received a Nobel Prize.
-
E.
longestServing
Indicates that one entity has served in a role, position, or capacity for a longer continuous duration than any other comparable entity.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd1f0ec819087003d30bbab2fa6 |
completed | March 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69a49d16cff881908c8d2c3fe4d1d6fb |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.