Triple
T21103195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Bad Night |
E519963
|
entity |
| Predicate | creatorOfCharacters |
P40162
|
FINISHED |
| Object | child narrator |
—
|
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: child narrator | Statement: [A Bad Night, creatorOfCharacters, child narrator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorOfCharacters Context triple: [A Bad Night, creatorOfCharacters, child narrator]
-
A.
creatorOfCharacter
chosen
Indicates that one entity is the originator or author who created or conceived the other entity as a character.
-
B.
creatorInComics
Indicates that one entity is the creator (such as writer or artist) responsible for the content or characters appearing in a particular comic work or series.
-
C.
coCreatedCharactersWith
Indicates that two or more entities jointly created one or more characters together.
-
D.
creatorOfAdaptationCharacterIn
Indicates that a person is the creator of a character that appears in a particular adaptation of a work.
-
E.
fictionalCharacterFrom
Indicates that a fictional character originates from, or is created within, a particular work, universe, or source.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5ee8948190ac6e9e144d312c90 |
completed | April 21, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:53 p.m.