Triple
T20759308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Toy Hall of Fame |
E510930
|
entity |
| Predicate | typicalInducteesPerYear |
P119394
|
FINISHED |
| Object | 2 to 3 toys |
—
|
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: 2 to 3 toys | Statement: [National Toy Hall of Fame, typicalInducteesPerYear, 2 to 3 toys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInducteesPerYear Context triple: [National Toy Hall of Fame, typicalInducteesPerYear, 2 to 3 toys]
-
A.
hasNumberOfInductees
Indicates the specific count of inductees associated with a given entity or context.
-
B.
hasInductees
Indicates that an entity has one or more individuals formally inducted or admitted into it, such as into a group, hall, or organization.
-
C.
hasInducteesFrom
Indicates that an entity includes or contains individuals who have been formally inducted from another specified group, source, or category.
-
D.
numberOfHonoreesPerPeriod
chosen
Indicates the count of honorees associated with each defined time period.
-
E.
hasNotableInductees
Indicates that an entity (such as an organization, hall of fame, or group) has individuals formally inducted into it who are considered especially significant or distinguished.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24751688190829f9d836abfb606 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:35 p.m.