Triple
T15115543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Tallichet |
E361028
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Devil Pays Off
The Devil Pays Off is a 1941 American crime drama film featuring actress Margaret Tallichet in a leading role.
|
E1139009
|
NE FINISHED |
How this triple was built (4 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 Devil Pays Off | Statement: [Margaret Tallichet, notableWork, The Devil Pays Off]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Devil Pays Off Context triple: [Margaret Tallichet, notableWork, The Devil Pays Off]
-
A.
The Devil to Pay
The Devil to Pay is a stage play by Scottish dramatist James Bridie, known for its witty dialogue and exploration of moral and philosophical themes.
-
B.
Some Devil
Some Devil is Dave Matthews' debut solo studio album, showcasing a more introspective and stripped-down sound than his work with the Dave Matthews Band.
-
C.
The Devil Commands
The Devil Commands is a 1941 American horror film in which a scientist’s experiments with communicating with the dead lead to terrifying consequences.
-
D.
The Devil’s 8
The Devil’s 8 is a 1969 American action-exploitation film about a group of convicts recruited to take down a corrupt Southern crime ring.
-
E.
Touch the Devil
Touch the Devil is a Cold War-era thriller novel by Jack Higgins featuring espionage, terrorism, and high-stakes covert operations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Devil Pays Off Triple: [Margaret Tallichet, notableWork, The Devil Pays Off]
Generated description
The Devil Pays Off is a 1941 American crime drama film featuring actress Margaret Tallichet in a leading role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Devil Pays Off Target entity description: The Devil Pays Off is a 1941 American crime drama film featuring actress Margaret Tallichet in a leading role.
-
A.
The Devil to Pay
The Devil to Pay is a stage play by Scottish dramatist James Bridie, known for its witty dialogue and exploration of moral and philosophical themes.
-
B.
Some Devil
Some Devil is Dave Matthews' debut solo studio album, showcasing a more introspective and stripped-down sound than his work with the Dave Matthews Band.
-
C.
The Devil Commands
The Devil Commands is a 1941 American horror film in which a scientist’s experiments with communicating with the dead lead to terrifying consequences.
-
D.
The Devil’s 8
The Devil’s 8 is a 1969 American action-exploitation film about a group of convicts recruited to take down a corrupt Southern crime ring.
-
E.
Touch the Devil
Touch the Devil is a Cold War-era thriller novel by Jack Higgins featuring espionage, terrorism, and high-stakes covert operations.
- F. None of above. chosen
Provenance (5 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058f4fb88190a3d446a466aebcf1 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7eee6e8819092657c4006456135 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69febbdadec4819094ca57a4f9ab5009 |
completed | May 9, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69febca121a48190ae6994e90b0e040c |
completed | May 9, 2026, 4:48 a.m. |
Created at: April 10, 2026, 3:05 a.m.