Triple
T15167393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmett Kelly |
E362388
|
entity |
| Predicate | clownCharacterType |
P60013
|
FINISHED |
| Object | tramp clown |
—
|
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: tramp clown | Statement: [Emmett Kelly, clownCharacterType, tramp clown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clownCharacterType Context triple: [Emmett Kelly, clownCharacterType, tramp clown]
-
A.
typeOfCharacter
chosen
Indicates that one entity is a specific kind or category of character in relation to another entity.
-
B.
musicalCharacter
Indicates that one entity is a character or role that appears within the other entity, which is a musical work or production.
-
C.
depictsCharacterType
Indicates that one entity visually represents or portrays a character of a specified type or role.
-
D.
costumeType
Indicates the specific kind or category of costume associated with an entity.
-
E.
isHumorousCharacter
Indicates that the character is portrayed in a humorous way or primarily serves a comedic role in the context.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064dba588190a4341775b472a6d3 |
completed | April 15, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.