Triple
T14373735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Characters Edition John Lennon |
E356418
|
entity |
| Predicate | isLuxuryGood |
P113785
|
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: [Great Characters Edition John Lennon, isLuxuryGood, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLuxuryGood Context triple: [Great Characters Edition John Lennon, isLuxuryGood, true]
-
A.
isLuxuryHotel
Indicates that a hotel is classified as a luxury establishment, typically offering high-end amenities, services, and accommodations.
-
B.
hasLuxuryBrands
Indicates that an entity possesses, offers, or is associated with one or more luxury brands.
-
C.
isPremiumBrand
Indicates that a brand is classified as high-end or luxury, typically associated with superior quality, exclusivity, and higher price positioning compared to standard brands.
-
D.
luxurySegment
Indicates that the associated entity belongs to, targets, or is positioned within the luxury or premium market segment.
-
E.
isExpensive
Indicates that something has a high cost or price relative to typical or expected alternatives.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:15 a.m.