Triple
T24590279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBC peacock logo (1986) |
E608511
|
entity |
| Predicate | usedWithWordmark |
P4791
|
FINISHED |
| Object | NBC wordmark |
E2196
|
NE 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: NBC wordmark | Statement: [NBC peacock logo (1986), usedWithWordmark, NBC wordmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedWithWordmark Context triple: [NBC peacock logo (1986), usedWithWordmark, NBC wordmark]
-
A.
logoUsedIn
Indicates that a particular logo is employed or displayed within a specified context, medium, or artifact.
-
B.
logoUsedBy
Indicates that a particular logo is employed or displayed by a specific entity as part of its identity, branding, or representation.
-
C.
usedInMarketingMaterials
Indicates that something is included or featured as part of marketing or promotional materials.
-
D.
usedWith
chosen
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
-
E.
visualTrademark
Indicates that one entity serves as a visual trademark or logo representing another entity.
- F. None of above.
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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9da6eb881909b11d4d4cec8e458 |
completed | April 30, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ff87fae488190bbd0516b8dc0be40 |
completed | May 22, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:30 a.m.