Triple
T15200124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reynard |
E363244
|
entity |
| Predicate | hasCompanion |
P22642
|
FINISHED |
| Object |
Grimbert the Badger
Grimbert the Badger is a loyal and level-headed companion of Reynard the Fox in the medieval beast epic "Reynard the Fox."
|
E1144189
|
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: Grimbert the Badger | Statement: [Reynard, hasCompanion, Grimbert the Badger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grimbert the Badger Context triple: [Reynard, hasCompanion, Grimbert the Badger]
-
A.
Klawz the Bear
Klawz the Bear is the costumed bear mascot who represents the University of Northern Colorado at athletic events and campus activities.
-
B.
Brisky the Bear
Brisky the Bear is the costumed bear mascot of Japan’s Hokkaido Nippon-Ham Fighters professional baseball team, known for entertaining fans at games and team events.
-
C.
Pachi the porcupine
Pachi the porcupine is the cheerful, multi-colored porcupine character created as the official mascot of the 2015 Parapan American Games in Toronto.
-
D.
Badger
Badger is a fictional character appearing in the work "The Return of Ulysses."
-
E.
Badger
Badger is a small unincorporated community located in Missouri, United States.
- 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: Grimbert the Badger Triple: [Reynard, hasCompanion, Grimbert the Badger]
Generated description
Grimbert the Badger is a loyal and level-headed companion of Reynard the Fox in the medieval beast epic "Reynard the Fox."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grimbert the Badger Target entity description: Grimbert the Badger is a loyal and level-headed companion of Reynard the Fox in the medieval beast epic "Reynard the Fox."
-
A.
Klawz the Bear
Klawz the Bear is the costumed bear mascot who represents the University of Northern Colorado at athletic events and campus activities.
-
B.
Brisky the Bear
Brisky the Bear is the costumed bear mascot of Japan’s Hokkaido Nippon-Ham Fighters professional baseball team, known for entertaining fans at games and team events.
-
C.
Pachi the porcupine
Pachi the porcupine is the cheerful, multi-colored porcupine character created as the official mascot of the 2015 Parapan American Games in Toronto.
-
D.
Badger
Badger is a fictional character appearing in the work "The Return of Ulysses."
-
E.
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.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b588b88190a88e91d521acbdfe |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3363f688190a5c728846bea743a |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed76d6a888190b44efa490df4b6d0 |
completed | May 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feda443c64819087cb16ce742e7cc5 |
completed | May 9, 2026, 6:55 a.m. |
Created at: April 10, 2026, 3:10 a.m.