Triple
T5146540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenville Swamp Rabbits |
E116083
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object |
Swamp Rabbit
Swamp Rabbit is the mascot character for the Greenville Swamp Rabbits professional ice hockey team.
|
E500106
|
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: Swamp Rabbit | Statement: [Greenville Swamp Rabbits, hasMascot, Swamp Rabbit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swamp Rabbit Context triple: [Greenville Swamp Rabbits, hasMascot, Swamp Rabbit]
-
A.
Gray Beaver
Gray Beaver is a Native American man in Jack London’s novel "White Fang," known for owning and harshly training the wolf-dog protagonist.
-
B.
Porcupine
Porcupine is a historic mining community and neighborhood within the city of Timmins in northeastern Ontario, Canada.
-
C.
Badger
Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
-
D.
Badger
Badger is the NATO reporting name for the Soviet-era Tupolev Tu-16, a twin-engine jet strategic bomber widely used during the Cold War.
-
E.
Badger
Badger is a fictional character appearing in the work "The Return of Ulysses."
- 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: Swamp Rabbit Triple: [Greenville Swamp Rabbits, hasMascot, Swamp Rabbit]
Generated description
Swamp Rabbit is the mascot character for the Greenville Swamp Rabbits professional ice hockey team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swamp Rabbit Target entity description: Swamp Rabbit is the mascot character for the Greenville Swamp Rabbits professional ice hockey team.
-
A.
Gray Beaver
Gray Beaver is a Native American man in Jack London’s novel "White Fang," known for owning and harshly training the wolf-dog protagonist.
-
B.
Porcupine
Porcupine is a historic mining community and neighborhood within the city of Timmins in northeastern Ontario, Canada.
-
C.
Badger
Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
-
D.
Badger
Badger is the NATO reporting name for the Soviet-era Tupolev Tu-16, a twin-engine jet strategic bomber widely used during the Cold War.
-
E.
Badger
Badger is a fictional character appearing in the work "The Return of Ulysses."
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78afc32081909fd4de3dbf31ea3a |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed920e650819097d8b74fe8b8966a |
completed | March 21, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69bedae9de2081909bd5e872fc0f904e |
completed | March 21, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bedba410448190bffab466812daa7e |
completed | March 21, 2026, 5:55 p.m. |
Created at: March 20, 2026, 1:43 p.m.