Triple
T10311554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamoudou Athie |
E241901
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Patti Cake$
Patti Cake$ is a 2017 independent drama-comedy film about an aspiring rapper from New Jersey chasing her hip-hop dreams against the odds.
|
E855717
|
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: Patti Cake$ | Statement: [Mamoudou Athie, notableWork, Patti Cake$]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patti Cake$ Context triple: [Mamoudou Athie, notableWork, Patti Cake$]
-
A.
Trang cake
Trang cake is a traditional Vietnamese rice-based delicacy associated with the city of Trang, known for its simple ingredients and distinctive regional flavor.
-
B.
Beecake
Beecake is a Scottish alternative rock band fronted by actor and musician Billy Boyd.
-
C.
Patti
Patti is a historic town in the Tarn Taran district of Punjab, India, known for its agricultural surroundings and cultural heritage.
-
D.
Patti
Patti is the given name of Patti LuPone, the acclaimed American actress and singer best known for her work in musical theatre on Broadway and the West End.
-
E.
Just Patty
Just Patty is a lighthearted early 20th-century novel by American author Jean Webster that follows the mischievous adventures of a spirited schoolgirl at a girls’ boarding school.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Patti Cake$ Triple: [Mamoudou Athie, notableWork, Patti Cake$]
Generated description
Patti Cake$ is a 2017 independent drama-comedy film about an aspiring rapper from New Jersey chasing her hip-hop dreams against the odds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patti Cake$ Target entity description: Patti Cake$ is a 2017 independent drama-comedy film about an aspiring rapper from New Jersey chasing her hip-hop dreams against the odds.
-
A.
Trang cake
Trang cake is a traditional Vietnamese rice-based delicacy associated with the city of Trang, known for its simple ingredients and distinctive regional flavor.
-
B.
Beecake
Beecake is a Scottish alternative rock band fronted by actor and musician Billy Boyd.
-
C.
Patti
Patti is a historic town in the Tarn Taran district of Punjab, India, known for its agricultural surroundings and cultural heritage.
-
D.
Patti
Patti is the given name of Patti LuPone, the acclaimed American actress and singer best known for her work in musical theatre on Broadway and the West End.
-
E.
Just Patty
Just Patty is a lighthearted early 20th-century novel by American author Jean Webster that follows the mischievous adventures of a spirited schoolgirl at a girls’ boarding school.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d32ac6c08190b23eb042b3ec284a |
completed | April 7, 2026, 9:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d78ece88190885768c979b038df |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d73186831481909555e2205d8783a7 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d732bfc76c819089287477b54a7b77 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:47 a.m.