Triple
T13956621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Dainton |
E335679
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Gentle Trap
The Gentle Trap is a 1960 British crime drama film best known for featuring actress Patricia Dainton in a leading role.
|
E1071588
|
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 Gentle Trap | Statement: [Patricia Dainton, notableWork, The Gentle Trap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Gentle Trap Context triple: [Patricia Dainton, notableWork, The Gentle Trap]
-
A.
The Tender Trap
The Tender Trap is a 1955 romantic comedy film starring Frank Sinatra and Debbie Reynolds, adapted from the Broadway play of the same name.
-
B.
The Tender Trap
The Tender Trap is a 1954 romantic comedy play by Robert Paul Smith that was later adapted into a popular 1955 film starring Frank Sinatra and Debbie Reynolds.
-
C.
The Steel Trap
The Steel Trap is a 1952 American crime thriller film starring Joseph Cotten as a bank employee who devises a plan to steal money and flee the country.
-
D.
The Trap
"The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
-
E.
The Trap
The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
- 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 Gentle Trap Triple: [Patricia Dainton, notableWork, The Gentle Trap]
Generated description
The Gentle Trap is a 1960 British crime drama film best known for featuring actress Patricia Dainton in a leading role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Gentle Trap Target entity description: The Gentle Trap is a 1960 British crime drama film best known for featuring actress Patricia Dainton in a leading role.
-
A.
The Tender Trap
The Tender Trap is a 1955 romantic comedy film starring Frank Sinatra and Debbie Reynolds, adapted from the Broadway play of the same name.
-
B.
The Tender Trap
The Tender Trap is a 1954 romantic comedy play by Robert Paul Smith that was later adapted into a popular 1955 film starring Frank Sinatra and Debbie Reynolds.
-
C.
The Steel Trap
The Steel Trap is a 1952 American crime thriller film starring Joseph Cotten as a bank employee who devises a plan to steal money and flee the country.
-
D.
The Trap
"The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
-
E.
The Trap
The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7a34f08190aa0d88b66154f268 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d27a0c8190b5d95ea86fc1a420 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba6af4ed881908cb4b79cfa40977c |
completed | May 6, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba71a91fc8190b24185994673b33b |
completed | May 6, 2026, 8:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.