Triple
T21752749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerber baby trademark image |
E536954
|
entity |
| Predicate | firstUsedInCommerce |
P1929
|
FINISHED |
| Object | 1928 |
—
|
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: 1928 | Statement: [Gerber baby trademark image, firstUsedInCommerce, 1928]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUsedInCommerce Context triple: [Gerber baby trademark image, firstUsedInCommerce, 1928]
-
A.
firstUsedOn
Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or entity.
-
B.
firstCommercialUse
chosen
Indicates the earliest point in time at which something was used commercially or put into commercial operation.
-
C.
firstUsedFor
Indicates that one entity was the earliest or original thing for which another entity was used or applied.
-
D.
firstWidelyUsedDuring
Indicates that something (such as a concept, technology, or practice) came into its first period of broad or widespread use during a specified time or era.
-
E.
firstUsedAs
Indicates that one entity was the earliest or original thing in which another entity was used or applied.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8b8b9c8190b1f6a8bc25d69dbb |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:50 p.m.