Triple
T8661572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniela Melchior |
E205559
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object |
The Pay Day
The Pay Day is a British heist comedy film that follows a broke IT technician who is drawn into a risky data theft scheme that spirals out of control.
|
E748986
|
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 Pay Day | Statement: [Daniela Melchior, actedIn, The Pay Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Pay Day Context triple: [Daniela Melchior, actedIn, The Pay Day]
-
A.
Payday
Payday is a 1973 American drama film starring Rip Torn as a hard-living country singer whose self-destructive lifestyle unravels over the course of a few chaotic days.
-
B.
Payday
"Payday" is a song by the American rock band Culture, recognized as one of their notable musical works.
-
C.
Payback
Payback is a 1999 neo-noir crime film starring Mel Gibson as a vengeful thief seeking repayment after being double-crossed.
-
D.
The Payback
The Payback is a 1973 funk album by James Brown, widely regarded as one of his most influential and sampled works, featuring extended grooves and socially charged themes.
-
E.
Paycheck
Paycheck is a 2003 science fiction action thriller film, based on a Philip K. Dick short story, about an engineer who must piece together his erased memories to uncover a conspiracy.
- 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 Pay Day Triple: [Daniela Melchior, actedIn, The Pay Day]
Generated description
The Pay Day is a British heist comedy film that follows a broke IT technician who is drawn into a risky data theft scheme that spirals out of control.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Pay Day Target entity description: The Pay Day is a British heist comedy film that follows a broke IT technician who is drawn into a risky data theft scheme that spirals out of control.
-
A.
Payday
Payday is a 1973 American drama film starring Rip Torn as a hard-living country singer whose self-destructive lifestyle unravels over the course of a few chaotic days.
-
B.
Payday
"Payday" is a song by the American rock band Culture, recognized as one of their notable musical works.
-
C.
Payback
Payback is a 1999 neo-noir crime film starring Mel Gibson as a vengeful thief seeking repayment after being double-crossed.
-
D.
The Payback
The Payback is a 1973 funk album by James Brown, widely regarded as one of his most influential and sampled works, featuring extended grooves and socially charged themes.
-
E.
Paycheck
Paycheck is a 2003 science fiction action thriller film, based on a Philip K. Dick short story, about an engineer who must piece together his erased memories to uncover a conspiracy.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc487147248190b5f1bff836a11e68 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccfda1dc8190a3b93b1c7e813f33 |
completed | April 2, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_69cece8d530081908f5a52d5d76bd414 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf7c66308190b9fb87bc0ab510a8 |
completed | April 2, 2026, 8:20 p.m. |
Created at: March 30, 2026, 6:30 p.m.