Triple
T33093491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slinky |
E846845
|
entity |
| Predicate | wasFirstSoldInYear |
P40835
|
FINISHED |
| Object | 1945 |
—
|
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: 1945 | Statement: [Slinky, wasFirstSoldInYear, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFirstSoldInYear Context triple: [Slinky, wasFirstSoldInYear, 1945]
-
A.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
-
B.
firstCommercialReleaseYear
chosen
Indicates the calendar year in which something (such as a product, work, or service) was first made commercially available to the public.
-
C.
firstArrivalYear
Indicates the calendar year in which an entity first arrived at or was initially present in a specified place or context.
-
D.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
-
E.
firstVintageReleaseYear
Indicates the year in which the first vintage of a product (such as a wine or collectible item) was initially released.
- 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:26 a.m.