Triple
T13286239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Return to Me |
E316451
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Don Lake |
—
|
NE NERFINISHED |
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: Don Lake | Statement: [Return to Me, screenwriter, Don Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Lake Context triple: [Return to Me, screenwriter, Don Lake]
-
A.
Don Lake
chosen
Don Lake is a Canadian actor, writer, and comedian known for his character roles in film and television and frequent collaborations with director Christopher Guest.
-
B.
Park Lake
Park Lake is a recreational lake and park area in Santa Rosa, New Mexico, popular for swimming, picnicking, and outdoor activities.
-
C.
Walker Lake
Walker Lake is a large natural desert lake in western Nevada known for its shrinking water levels and importance as a habitat for migratory birds and native fish.
-
D.
Inspiration Lake
Inspiration Lake is a man-made recreational lake and landscaped park near Hong Kong Disneyland, popular for walking, jogging, and family outings.
-
E.
Roy Lake
Roy Lake is a freshwater lake and popular recreational area in northeastern South Dakota known for fishing, boating, and camping.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990759ebc8190a9487a59e37a69e2 |
completed | April 11, 2026, 12:06 a.m. |
Created at: April 9, 2026, 9:27 p.m.