Triple
T20759288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Toy Hall of Fame |
E510930
|
entity |
| Predicate | notableInductee |
P7102
|
FINISHED |
| Object |
Teddy bear
A teddy bear is a soft, stuffed toy bear that has become a classic symbol of childhood comfort and affection worldwide.
|
E1447981
|
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: Teddy bear | Statement: [National Toy Hall of Fame, notableInductee, Teddy bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teddy bear Context triple: [National Toy Hall of Fame, notableInductee, Teddy bear]
-
A.
Teddy Bears
Teddy Bears is a popular nickname for Rangers F.C., one of Scotland’s most successful and widely supported football clubs.
-
B.
Ted (living teddy bear)
Ted (living teddy bear) is a foul-mouthed, magically animated stuffed bear who serves as the crude yet lovable best friend of John Bennett in the comedic Ted film franchise.
-
C.
Bobo (teddy bear)
Bobo is Mr. Burns’s beloved childhood teddy bear from the animated television series "The Simpsons," symbolizing his lost innocence and softer side.
-
D.
Teddies
Teddies is the informal nickname commonly used for St Edward's School, a co-educational independent boarding school in Oxford, England.
-
E.
Teddy
Teddy is the nickname of Teddy Kollek, the long-serving and influential former mayor of Jerusalem.
- 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: Teddy bear Triple: [National Toy Hall of Fame, notableInductee, Teddy bear]
Generated description
A teddy bear is a soft, stuffed toy bear that has become a classic symbol of childhood comfort and affection worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teddy bear Target entity description: A teddy bear is a soft, stuffed toy bear that has become a classic symbol of childhood comfort and affection worldwide.
-
A.
Teddy Bears
Teddy Bears is a popular nickname for Rangers F.C., one of Scotland’s most successful and widely supported football clubs.
-
B.
Ted (living teddy bear)
Ted (living teddy bear) is a foul-mouthed, magically animated stuffed bear who serves as the crude yet lovable best friend of John Bennett in the comedic Ted film franchise.
-
C.
Bobo (teddy bear)
Bobo is Mr. Burns’s beloved childhood teddy bear from the animated television series "The Simpsons," symbolizing his lost innocence and softer side.
-
D.
Teddies
Teddies is the informal nickname commonly used for St Edward's School, a co-educational independent boarding school in Oxford, England.
-
E.
Teddy
Teddy is the nickname of Teddy Kollek, the long-serving and influential former mayor of Jerusalem.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24751688190829f9d836abfb606 |
completed | April 21, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e84cc14c8190a3a90116a657af27 |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e90ba0188190a4e744a79962bf2e |
completed | May 16, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e9799dbc8190b91f7c0ba0e1cfaf |
completed | May 16, 2026, 10:02 p.m. |
Created at: April 16, 2026, 12:35 p.m.