Triple
T21206593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Schenkel |
E522600
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Knight Moves |
—
|
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: Knight Moves | Statement: [Carl Schenkel, notableWork, Knight Moves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knight Moves Context triple: [Carl Schenkel, notableWork, Knight Moves]
-
A.
Knight Moves
chosen
Knight Moves is a 1992 psychological thriller film starring Christopher Lambert as a chess grandmaster entangled in a series of brutal murders.
-
B.
Rook
Rook is an open-source cloud-native storage orchestrator for Kubernetes that automates the deployment, management, and scaling of storage systems.
-
C.
The Bishop’s Move
"The Bishop’s Move" is a humorous short story by P. G. Wodehouse featuring one of Mr Mulliner’s comic tales of romantic and clerical mishaps.
-
D.
River Chess
River Chess is a chalk stream in southeast England that flows through Buckinghamshire and Hertfordshire before joining the River Colne.
-
E.
Pawns
"Pawns" is a dramatic work by English poet and playwright John Drinkwater, reflecting his early 20th-century literary style and themes.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73435322c8190bf4156fbd14edc5c |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:20 p.m.