Triple
T11757627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bondi Blue |
E279564
|
entity |
| Predicate | usedInMarketingMaterials |
P101201
|
FINISHED |
| Object | iMac G3 advertising |
—
|
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: iMac G3 advertising | Statement: [Bondi Blue, usedInMarketingMaterials, iMac G3 advertising]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInMarketingMaterials Context triple: [Bondi Blue, usedInMarketingMaterials, iMac G3 advertising]
-
A.
usedInMerchandise
Indicates that something (such as a work, character, or design) is utilized or featured as part of a merchandise item.
-
B.
usedInBrand
Indicates that something (such as a component, material, or element) is utilized as part of or within a particular brand.
-
C.
usedAsMarketingTitleIn
Indicates that something serves as a marketing title or promotional label within a specified context or medium.
-
D.
usedInECommerce
Indicates that something is employed or applied within the context of electronic commerce activities or systems.
-
E.
usedInCatalogue
Indicates that something is included or referenced as an entry within a catalogue.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50c8d708190ad79ecb57b715d04 |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a829fe481909cc5431de7d6058e |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890467a2481909ce6c669e739c8de |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:41 p.m.