Triple
T2614722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pepé Le Pew |
E58859
|
entity |
| Predicate | catchphraseType |
P13561
|
FINISHED |
| Object | romantic French endearments |
—
|
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: romantic French endearments | Statement: [Pepé Le Pew, catchphraseType, romantic French endearments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catchphraseType Context triple: [Pepé Le Pew, catchphraseType, romantic French endearments]
-
A.
mottoType
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
-
B.
usedPhrase
chosen
Indicates that one entity employed or expressed a particular phrase in speech, writing, or another form of communication.
-
C.
titlePhrase
Indicates that one entity is a phrase functioning as the title or name of another entity.
-
D.
associatedWithFamousSlogan
Indicates that an entity is connected to, known for, or commonly linked with a particular famous slogan.
-
E.
sloganGivenBy
Indicates that a particular slogan is provided, coined, or assigned by a specific entity.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd89325308190985598373eb0d296 |
completed | March 7, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69abd80cd7fc81909e9696db2919129f |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.