Triple
T10682425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cake (2014 film) |
E251789
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Cake |
E251789
|
NE FINISHED |
How this triple was built (2 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: [Cake (2014 film), title, Cake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cake Context triple: [Cake (2014 film), title, Cake]
-
A.
Cake
chosen
"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.
-
B.
Cake
Cake is an American alternative rock band known for its deadpan vocals, eclectic instrumentation, and ironic, genre-blending covers of well-known songs.
-
C.
Pie
Pie is a baked dish typically consisting of a pastry crust filled with sweet or savory ingredients and cooked until golden and set.
-
D.
Beecake
Beecake is a Scottish alternative rock band fronted by actor and musician Billy Boyd.
-
E.
Kugelbake
Kugelbake is a historic wooden nautical beacon and prominent coastal landmark at the northernmost point of Cuxhaven, Germany, marking the transition between the Elbe River and the North Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9888cf7b481909de6a4fecb48cf4b |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:10 p.m.