Triple
T9329594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoebe Ephron |
E224481
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Jackpot
"The Jackpot" is a 1950 American comedy film starring James Stewart as a man whose life is upended after winning a radio quiz show’s massive prize haul.
|
E791247
|
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 Jackpot | Statement: [Phoebe Ephron, notableWork, The Jackpot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Jackpot Context triple: [Phoebe Ephron, notableWork, The Jackpot]
-
A.
Jackpot
Jackpot is the costumed mascot of the Lake Elsinore Storm minor league baseball team, known for entertaining fans at games and community events.
-
B.
Jackpot
Jackpot is a small unincorporated casino and resort town in northeastern Nevada, known as a popular gambling destination near the Idaho border.
-
C.
Jackpot
"Jackpot" is a darkly comedic Norwegian crime thriller film known for its twisty plot and violent, absurdist humor.
-
D.
Jackpot
"Jackpot" is the debut studio album by American rapper Chingy, known for its hit singles and commercial success in the early 2000s hip-hop scene.
-
E.
Big Bet
Big Bet is a South Korean crime drama television series centered on a notorious casino kingpin in the Philippines, known for its gritty storytelling and strong performances.
- 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 Jackpot Triple: [Phoebe Ephron, notableWork, The Jackpot]
Generated description
"The Jackpot" is a 1950 American comedy film starring James Stewart as a man whose life is upended after winning a radio quiz show’s massive prize haul.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Jackpot Target entity description: "The Jackpot" is a 1950 American comedy film starring James Stewart as a man whose life is upended after winning a radio quiz show’s massive prize haul.
-
A.
Jackpot
Jackpot is a small unincorporated casino and resort town in northeastern Nevada, known as a popular gambling destination near the Idaho border.
-
B.
Jackpot
"Jackpot" is a darkly comedic Norwegian crime thriller film known for its twisty plot and violent, absurdist humor.
-
C.
Jackpot
Jackpot is the costumed mascot of the Lake Elsinore Storm minor league baseball team, known for entertaining fans at games and community events.
-
D.
Jackpot
"Jackpot" is the debut studio album by American rapper Chingy, known for its hit singles and commercial success in the early 2000s hip-hop scene.
-
E.
Big Bet
Big Bet is a South Korean crime drama television series centered on a notorious casino kingpin in the Philippines, known for its gritty storytelling and strong performances.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37acbc04819092a67d7f392c74cd |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7fca954819086f695be973b227e |
completed | April 4, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_69d0c8b6eac48190958910ab85250254 |
completed | April 4, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0cb44ad9881909de7b81ae05a9a6e |
completed | April 4, 2026, 8:26 a.m. |
Created at: March 30, 2026, 7:39 p.m.