Triple
T13337866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Kraus |
E317743
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Scowler |
E1034910
|
NE 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: Scowler | Statement: [Daniel Kraus, wrote, Scowler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scowler Context triple: [Daniel Kraus, wrote, Scowler]
-
A.
Scowler
chosen
Scowler is a dark, psychological horror novel by Daniel Kraus that explores family trauma and violence through the eyes of a troubled teenager on an isolated farm.
-
B.
Crowl
Crowl is a surname that serves as a spelling variant of the more common family name Crowell.
-
C.
Smargadus
Smargadus was the exarch of Ravenna who commissioned the Column of Phocas in the Roman Forum in the early 7th century.
-
D.
Slammerkin
"Slammerkin" is a historical novel by Emma Donoghue that follows a poor young woman's struggle for survival and autonomy in 18th-century Britain, exploring themes of class, gender, and desire.
-
E.
Blathers
Blathers is the scholarly owl who runs the museum in the Animal Crossing series, known for his love of fossils and aversion to insects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d00b75c8190af98784c7df904c8 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7267132488190a62930e98be70640 |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:31 p.m.