Triple
T20900277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmore |
E514650
|
entity |
| Predicate | inhabitant |
P6481
|
FINISHED |
| Object | Miss Simian |
—
|
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: Miss Simian | Statement: [Elmore, inhabitant, Miss Simian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miss Simian Context triple: [Elmore, inhabitant, Miss Simian]
-
A.
Miss Simian
chosen
Miss Simian is a grumpy, strict, and elderly baboon teacher from the animated series "The Amazing World of Gumball," known for her harsh treatment of students and comically villainous personality.
-
B.
Screaming Mimi
Screaming Mimi is a member of the vampiric, psychic predator group known as the True Knot in Stephen King’s novel "Doctor Sleep."
-
C.
Monkey Me
"Monkey Me" is a 2012 electropop studio album by French singer-songwriter Mylène Farmer, known for its melancholic themes and atmospheric production.
-
D.
Moonbeam Monkey
"Moonbeam Monkey" is a song by American singer-songwriter Tanya Donelly, known for its dreamy, atmospheric style and introspective lyrics.
-
E.
Simian Mobile Disco
Simian Mobile Disco is an English electronic music duo known for their innovative blend of house, techno, and experimental dance music production and DJ performances.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8fa5228819084341dbc813cc1e3 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.