Triple
T29523037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlowe (2022 film) |
E748985
|
entity |
| Predicate | characterOriginCreator |
P40162
|
FINISHED |
| Object | Raymond Chandler |
—
|
NE NERFINISHED |
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: Raymond Chandler | Statement: [Marlowe (2022 film), characterOriginCreator, Raymond Chandler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterOriginCreator Context triple: [Marlowe (2022 film), characterOriginCreator, Raymond Chandler]
-
A.
characterOrigin
Indicates the source, background, or initial context from which a character originates.
-
B.
creatorOfCharacter
chosen
Indicates that one entity is the originator or author who created or conceived the other entity as a character.
-
C.
originOfCharacter
Indicates the source or place from which a character originates or is created.
-
D.
protagonistOrigin
Indicates that one entity is the origin, source, or starting point of the protagonist in a narrative or story.
-
E.
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.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 28, 2026, 4:43 p.m.