Triple
T31221243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Abraham |
E796013
|
entity |
| Predicate | notableShortFiction |
—
|
GENERATED |
| Object | Flat Diane |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableShortFiction Context triple: [Daniel Abraham, notableShortFiction, Flat Diane]
-
A.
notableShort
Indicates that an entity is notably short in height or duration compared to typical or expected standards.
-
B.
notableShortFilm
chosen
Indicates that the subject is a short film that is recognized as notable or significant in some meaningful way.
-
C.
notableFictionalFeature
Indicates that an entity is distinguished by a specific fictional characteristic, trait, or element it is known for.
-
D.
novel
Indicates that an entity is new, original, or not previously known or used in the given context.
-
E.
notableStory
Indicates that an entity is the subject or source of a story, account, or narrative that is considered notable or significant.
- F. None of above.
Provenance (1 batch)
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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 9:10 p.m.