Triple
T15647443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel Dinelli |
E376217
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Window |
E547952
|
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: The Window | Statement: [Mel Dinelli, notableWork, The Window]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Window Context triple: [Mel Dinelli, notableWork, The Window]
-
A.
The Window
chosen
"The Window" is a 1949 American film noir thriller about a young boy who witnesses a murder but struggles to convince adults that the crime really occurred.
-
B.
Ventanas
Ventanas is a small city in Ecuador’s Los Ríos Province, known primarily for its agricultural surroundings and role as a local commercial center.
-
C.
Ventanas
Ventanas is a coastal locality in central Chile known for its beaches and heavy industrial and port activities.
-
D.
Through the Window
"Through the Window" is a song featured on Eddie Vedder’s acoustic solo album "Higher Truth."
-
E.
Through a Window
Through a Window is a book by primatologist Jane Goodall that reflects on her decades of research and personal experiences with chimpanzees in the wild.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67936e388190913c9060194e5b53 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.