Triple
T8515572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandra Bullock |
E201563
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Lake House |
E328490
|
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 Lake House | Statement: [Sandra Bullock, notableWork, The Lake House]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lake House Context triple: [Sandra Bullock, notableWork, The Lake House]
-
A.
The Lake House
The Lake House is a bestselling historical mystery novel by Australian author Kate Morton that intertwines past and present as it unravels a decades-old family secret.
-
B.
The Lake House
The Lake House is a science fiction novel by James Patterson that follows genetically engineered children with wings as they escape sinister experiments and search for freedom.
-
C.
The Lake House
chosen
The Lake House is a 2006 romantic drama film featuring a time-crossed love story between characters played by Keanu Reeves and Sandra Bullock.
-
D.
Riverhouse
Riverhouse is a luxury eco-friendly residential condominium building located in Manhattan’s Battery Park City neighborhood.
-
E.
Lake of Dreams
Lake of Dreams is a large, multimedia performance lake at Wynn Las Vegas known for its nightly light, music, and animatronic shows viewed from surrounding terraces and restaurants.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe60f37b0819082ae14e539f57b56 |
completed | March 31, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e5dbb3c81909157e6b04a4956af |
completed | April 2, 2026, 11:09 a.m. |
Created at: March 30, 2026, 6:15 p.m.