Triple
T20759292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Toy Hall of Fame |
E510930
|
entity |
| Predicate | notableInductee |
P7102
|
FINISHED |
| Object | Slinky |
—
|
NE NERFINISHED |
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: Slinky | Statement: [National Toy Hall of Fame, notableInductee, Slinky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slinky Context triple: [National Toy Hall of Fame, notableInductee, Slinky]
-
A.
Slinky
chosen
Slinky is a classic helical spring toy that can "walk" down stairs and perform various tricks through its unique coiled design.
-
B.
Slinge
Slinge is a metro station in Rotterdam, Netherlands, serving as a key southern endpoint and transport hub in the city's metro network.
-
C.
Stick
Stick is a blind martial arts master and mentor figure in Marvel's Daredevil universe, known for training Matt Murdock and leading the secretive group called the Chaste.
-
D.
Sling
Sling is an American over-the-top live TV streaming service offering customizable channel packages over the internet.
-
E.
Snap
Snap is a technology and social media company best known for creating Snapchat and developing camera-focused hardware and augmented reality products.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 12:35 p.m.