Triple
T18878940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Triska |
E461765
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Apt Pupil |
—
|
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: Apt Pupil | Statement: [Jan Triska, notableWork, Apt Pupil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apt Pupil Context triple: [Jan Triska, notableWork, Apt Pupil]
-
A.
Apt Pupil
Apt Pupil is a dark psychological novella by Stephen King about a teenage boy’s disturbing relationship with a fugitive Nazi war criminal.
-
B.
Apt Pupil
chosen
Apt Pupil is a 1998 psychological thriller film, based on a Stephen King novella, about a disturbed teenager who discovers and manipulates a Nazi war criminal living in his neighborhood.
-
C.
Apt Pupil – Southern California
Apt Pupil – Southern California is the primary setting of Stephen King’s novella “Apt Pupil,” a dark psychological horror story from his collection Different Seasons.
-
D.
The Officer
The Officer is a character in August Strindberg’s expressionist drama "A Dream Play," representing duty-bound authority amid the play’s surreal exploration of human suffering and illusion.
-
E.
Able One
Able One is a Thoroughbred racehorse best known as a top-class miler who became a multiple Group 1 winner in Hong Kong.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d06ef481908bba297d7a1fd011 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.