Triple
T38672227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Think different |
E943626
|
entity |
| Predicate | positionInBrandHistory |
P156408
|
FINISHED |
| Object | key turning point in Apple marketing |
—
|
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: key turning point in Apple marketing | Statement: [Think different, positionInBrandHistory, key turning point in Apple marketing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInBrandHistory Context triple: [Think different, positionInBrandHistory, key turning point in Apple marketing]
-
A.
positionInBrandPortfolio
Indicates the relative role or rank that a brand holds within a company’s overall brand portfolio.
-
B.
brandPosition
Indicates the relative market or perceptual placement of a brand compared to competitors or within a defined category.
-
C.
chronologicalPosition
Indicates the relative ordering of one event or entity in time with respect to another.
-
D.
brandHistory
chosen
Indicates the historical background, evolution, and significant past events associated with a particular brand.
-
E.
historicallyBorneBy
Indicates that an entity has carried, possessed, or used another entity (such as a name, title, or symbol) at some point in the past.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00332eaa0c8190a69ea895576bb0ee |
completed | May 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_6a0032b2ea80819083b89ebb88165933 |
completed | May 10, 2026, 7:24 a.m. |
Created at: May 3, 2026, 4:33 p.m.