Triple
T5565576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akron RubberDucks |
E145871
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Rubberta
Rubberta is one of the costumed duck mascots for the Akron RubberDucks Minor League Baseball team.
|
E534308
|
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: Rubberta | Statement: [Akron RubberDucks, mascot, Rubberta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubberta Context triple: [Akron RubberDucks, mascot, Rubberta]
-
A.
Roberta
"Roberta" is a 1935 Hollywood musical film starring Fred Astaire (Frederick Austerlitz) and Ginger Rogers, known for its fashion-world setting and classic Jerome Kern songs.
-
B.
Roberta
Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
-
C.
Wilella
Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
-
D.
Baerbel
Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
-
E.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
- 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: Rubberta Triple: [Akron RubberDucks, mascot, Rubberta]
Generated description
Rubberta is one of the costumed duck mascots for the Akron RubberDucks Minor League Baseball team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rubberta Target entity description: Rubberta is one of the costumed duck mascots for the Akron RubberDucks Minor League Baseball team.
-
A.
Roberta
"Roberta" is a 1935 Hollywood musical film starring Fred Astaire (Frederick Austerlitz) and Ginger Rogers, known for its fashion-world setting and classic Jerome Kern songs.
-
B.
Roberta
Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
-
C.
Wilella
Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
-
D.
Baerbel
Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
-
E.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02033cc308190895f13454c57f452 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d125e808190b0360da35d514920 |
completed | March 22, 2026, 8:12 p.m. |
| NEDg | Description generation | batch_69c04e868cc48190bdb245ba52b9b938 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f0de68c8190817b525f2d8ef327 |
completed | March 22, 2026, 8:20 p.m. |
Created at: March 22, 2026, 3:36 p.m.