Triple
T21979072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeeves and the Chump Cyril |
E542785
|
entity |
| Predicate | depictsCharacterAs |
P100368
|
FINISHED |
| Object | Cyril is foolish |
—
|
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: Cyril is foolish | Statement: [Jeeves and the Chump Cyril, depictsCharacterAs, Cyril is foolish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsCharacterAs Context triple: [Jeeves and the Chump Cyril, depictsCharacterAs, Cyril is foolish]
-
A.
depictsCharacterType
Indicates that one entity visually represents or portrays a character of a specified type or role.
-
B.
portraysPersonAs
chosen
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
-
C.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
D.
oftenDepictedAs
Indicates that one entity is frequently represented or portrayed in the form, appearance, or symbolism of another entity.
-
E.
depictsPersonRole
Indicates that an image or representation shows a person in a specific role, function, or capacity.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248bdd88819098bfeca550608f14 |
completed | April 28, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:03 p.m.