Triple
T20544012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Gideon Fell series |
E504417
|
entity |
| Predicate | hasWork |
P6260
|
FINISHED |
| Object | The Crooked Hinge |
—
|
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: The Crooked Hinge | Statement: [Dr. Gideon Fell series, hasWork, The Crooked Hinge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Crooked Hinge Context triple: [Dr. Gideon Fell series, hasWork, The Crooked Hinge]
-
A.
The Crooked Hinge
chosen
The Crooked Hinge is a classic locked-room mystery novel by John Dickson Carr featuring his detective Dr. Gideon Fell and renowned for its intricate plot and eerie atmosphere.
-
B.
The Crooked Billet
The Crooked Billet is a 1929 British mystery film featuring actor Malcolm Keen.
-
C.
The Crooked Way
The Crooked Way is a 1949 American film noir crime drama about an amnesiac war veteran drawn into a violent criminal underworld.
-
D.
The Crooked Man
The Crooked Man is a film featuring Irish actor Liam Cunningham, likely a thriller or horror project in which he plays a prominent role.
-
E.
The Crooked Man
The Crooked Man is a major crime boss and manipulative antagonist in the noir-inspired fairy-tale world of the video game *The Wolf Among Us*.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2957c308190aab81127f82f8aa6 |
completed | April 20, 2026, 10:03 p.m. |
Created at: April 16, 2026, 11:38 a.m.