Triple
T28099825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ensemble! (France) |
E710199
|
entity |
| Predicate | spelledWithExclamationMark |
P53251
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Ensemble! (France), spelledWithExclamationMark, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spelledWithExclamationMark Context triple: [Ensemble! (France), spelledWithExclamationMark, true]
-
A.
favoriteExclamation
Indicates that one entity’s preferred or most commonly used exclamatory expression is the other entity.
-
B.
hasSpellingWithAccent
Indicates that one form of a word or name is spelled using accented characters compared to another form.
-
C.
spellingIncludes
Indicates that the spelling of one entity contains, as a substring or component, the spelling of another entity.
-
D.
spellingGimmick
chosen
Indicates a distinctive or unconventional way of spelling something used for effect or branding rather than standard orthography.
-
E.
hasTypicalSpelling
Indicates that one form is the standard or commonly accepted spelling of another form.
- F. None of above.
Provenance (3 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f640908b208190857b085879e60e1c |
completed | May 2, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:04 p.m.