Triple
T2892599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Rotten Scoundrels |
E63861
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
Bedtime Story
"Bedtime Story" is a 1964 comedy film about two con men on the French Riviera, later famously remade as "Dirty Rotten Scoundrels."
|
E307578
|
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: Bedtime Story | Statement: [Dirty Rotten Scoundrels, basedOn, Bedtime Story]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bedtime Story Context triple: [Dirty Rotten Scoundrels, basedOn, Bedtime Story]
-
A.
Bedtime Stories
Bedtime Stories is a 2008 family fantasy-comedy film starring Adam Sandler, in which a hotel handyman discovers that the bedtime tales he tells his niece and nephew start coming true in real life.
-
B.
Bedtime
"Bedtime" is a British television drama series best known for its intimate, character-driven stories set around the lives of neighbors in a suburban street at night.
-
C.
Tuck You In
Tuck You In is a song featured on the album "Evolver."
-
D.
Goodnight Adeline
Goodnight Adeline is a song featured on the album "Saviors" by Green Day.
-
E.
Neighborhood of Make-Believe
The Neighborhood of Make-Believe is a whimsical puppet-populated fantasy world visited in "Mister Rogers' Neighborhood," where stories, feelings, and life lessons are explored through imaginative play.
- 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: Bedtime Story Triple: [Dirty Rotten Scoundrels, basedOn, Bedtime Story]
Generated description
"Bedtime Story" is a 1964 comedy film about two con men on the French Riviera, later famously remade as "Dirty Rotten Scoundrels."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bedtime Story Target entity description: "Bedtime Story" is a 1964 comedy film about two con men on the French Riviera, later famously remade as "Dirty Rotten Scoundrels."
-
A.
Bedtime Stories
Bedtime Stories is a 2008 family fantasy-comedy film starring Adam Sandler, in which a hotel handyman discovers that the bedtime tales he tells his niece and nephew start coming true in real life.
-
B.
Bedtime
"Bedtime" is a British television drama series best known for its intimate, character-driven stories set around the lives of neighbors in a suburban street at night.
-
C.
Tuck You In
Tuck You In is a song featured on the album "Evolver."
-
D.
Goodnight Adeline
Goodnight Adeline is a song featured on the album "Saviors" by Green Day.
-
E.
Neighborhood of Make-Believe
The Neighborhood of Make-Believe is a whimsical puppet-populated fantasy world visited in "Mister Rogers' Neighborhood," where stories, feelings, and life lessons are explored through imaginative play.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe062234c81909411e34db7d2683d |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0317e15248190bade0f0fd930581a |
completed | March 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69b034b304f8819096eda16e314912b4 |
completed | March 10, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b03c60a5988190b015a1cf05068845 |
completed | March 10, 2026, 3:44 p.m. |
Created at: March 6, 2026, 10:07 p.m.