Triple
T20210524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gruffalo |
E493475
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Mouse |
—
|
NE NERFINISHED |
How this triple was built (2 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: Mouse | Statement: [The Gruffalo, mainCharacter, Mouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mouse Context triple: [The Gruffalo, mainCharacter, Mouse]
-
A.
Mouse
"Mouse" is a short story featured in the speculative fiction collection "Smoke and Mirrors" by Neil Gaiman.
-
B.
Mouse
chosen
Mouse is a small rodent often depicted in stories and media as a timid yet resourceful character.
-
C.
Mouse Rat
Mouse Rat is the fictional rock band fronted by Andy Dwyer on the television series "Parks and Recreation," known for its humorous songs and ever-changing name.
-
D.
Mause
Mause is a character in Allan Ramsay’s pastoral play "The Gentle Shepherd," typically depicted as an old, wise woman who provides comic relief and guidance.
-
E.
Mouse Davis
Mouse Davis is an American football coach renowned as a pioneer of the run-and-shoot offense, which he implemented successfully at various levels of the sport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed5691c8190bf253b1d4ee6e88f |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.