Triple
T2263205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamie Gummer |
E50084
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Cake
"Cake" is a 2014 drama film in which Jennifer Aniston stars as a woman struggling with chronic pain and grief, featuring Mamie Gummer in a supporting role.
|
E251789
|
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: Cake | Statement: [Mamie Gummer, notableWork, Cake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cake Context triple: [Mamie Gummer, notableWork, Cake]
-
A.
Beecake
Beecake is a Scottish alternative rock band fronted by actor and musician Billy Boyd.
-
B.
Pies
The Pies is a common nickname for the Collingwood Football Club, a prominent Australian rules football team in the Australian Football League.
-
C.
Eccles cake
Eccles cake is a traditional British pastry made of flaky, buttery pastry filled with spiced currants and often enjoyed as a sweet snack or dessert.
-
D.
Layer Cake
Layer Cake is a 2004 British crime thriller film directed by Matthew Vaughn, known for its stylish depiction of London’s criminal underworld and for helping launch Daniel Craig to wider fame.
-
E.
Cornbread
Cornbread is the nickname of Cedric Maxwell, a former Boston Celtics forward known for his key role in their 1981 and 1984 NBA championship teams.
- 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: Cake Triple: [Mamie Gummer, notableWork, Cake]
Generated description
"Cake" is a 2014 drama film in which Jennifer Aniston stars as a woman struggling with chronic pain and grief, featuring Mamie Gummer in a supporting role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cake Target entity description: "Cake" is a 2014 drama film in which Jennifer Aniston stars as a woman struggling with chronic pain and grief, featuring Mamie Gummer in a supporting role.
-
A.
Beecake
Beecake is a Scottish alternative rock band fronted by actor and musician Billy Boyd.
-
B.
Pies
The Pies is a common nickname for the Collingwood Football Club, a prominent Australian rules football team in the Australian Football League.
-
C.
Eccles cake
Eccles cake is a traditional British pastry made of flaky, buttery pastry filled with spiced currants and often enjoyed as a sweet snack or dessert.
-
D.
Layer Cake
Layer Cake is a 2004 British crime thriller film directed by Matthew Vaughn, known for its stylish depiction of London’s criminal underworld and for helping launch Daniel Craig to wider fame.
-
E.
Cornbread
Cornbread is the nickname of Cedric Maxwell, a former Boston Celtics forward known for his key role in their 1981 and 1984 NBA championship teams.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18d7fc08190851765683d1b8092 |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71cfd3b08190988474aa0fa985fe |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae7688583c8190abb05be41103762a |
completed | March 9, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae76ec3c0c8190bfb7d25b435c777f |
completed | March 9, 2026, 7:29 a.m. |
Created at: March 4, 2026, 7:48 p.m.