Triple
T10199473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slinky Dog |
E238845
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
Slinky
Slinky is a classic helical spring toy that can "walk" down stairs and perform various tricks through its unique coiled design.
|
E846845
|
NE FINISHED |
How this triple was built (4 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: [Slinky Dog, basedOn, Slinky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slinky Context triple: [Slinky Dog, basedOn, Slinky]
-
A.
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.
-
B.
Snap
Snap is a technology and social media company best known for creating Snapchat and developing camera-focused hardware and augmented reality products.
-
C.
Snap
Snap is the superhero alias used by Marvel Comics character Sam Wilson, better known as the Falcon and the second Captain America.
-
D.
Tik-Tok
Tik-Tok is a mechanical man from L. Frank Baum’s Oz series, often considered one of the earliest robots in modern fantasy literature.
-
E.
Schnapp
Schnapp is the surname of American actor Noah Schnapp, best known for his role as Will Byers in the television series "Stranger Things."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Slinky Triple: [Slinky Dog, basedOn, Slinky]
Generated description
Slinky is a classic helical spring toy that can "walk" down stairs and perform various tricks through its unique coiled design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Slinky Target entity description: Slinky is a classic helical spring toy that can "walk" down stairs and perform various tricks through its unique coiled design.
-
A.
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.
-
B.
Snap
Snap is a technology and social media company best known for creating Snapchat and developing camera-focused hardware and augmented reality products.
-
C.
Snap
Snap is the superhero alias used by Marvel Comics character Sam Wilson, better known as the Falcon and the second Captain America.
-
D.
Tik-Tok
Tik-Tok is a mechanical man from L. Frank Baum’s Oz series, often considered one of the earliest robots in modern fantasy literature.
-
E.
Schnapp
Schnapp is the surname of American actor Noah Schnapp, best known for his role as Will Byers in the television series "Stranger Things."
- F. None of above. chosen
Provenance (5 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee3dfa108190b2888385ef96de23 |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317eca3f88190a47009be6f96977e |
completed | April 6, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69d319cb6e8c8190926bacedd18f5ded |
completed | April 6, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d31a5417f48190ac4449b44b555320 |
completed | April 6, 2026, 2:28 a.m. |
Created at: March 30, 2026, 9:14 p.m.