Triple
T3909354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macintosh Classic |
E87283
|
entity |
| Predicate | introducedAsLowCostModel |
P52842
|
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: [Macintosh Classic, introducedAsLowCostModel, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAsLowCostModel Context triple: [Macintosh Classic, introducedAsLowCostModel, true]
-
A.
introducedAsModel
Indicates that one entity is presented or identified to others in the role or capacity of a model.
-
B.
introducedModelFamily
Indicates that an entity (such as a person or organization) is responsible for first presenting or launching a particular model family.
-
C.
actualLaunchPrice
Indicates the price at which something was actually launched or first offered, as opposed to its planned or advertised launch price.
-
D.
introducedForModel
Indicates that one entity was created, proposed, or brought into use specifically for application within a particular model.
-
E.
launchPriceDescription
Indicates the descriptive text explaining the initial price at which a product or service is first launched or offered.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:22 p.m.