Triple
T18576288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ales Bialiatski |
E453995
|
entity |
| Predicate | sharedNobelPeacePrizeWith |
P16109
|
FINISHED |
| Object | Memorial |
—
|
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: Memorial | Statement: [Ales Bialiatski, sharedNobelPeacePrizeWith, Memorial]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memorial Context triple: [Ales Bialiatski, sharedNobelPeacePrizeWith, Memorial]
-
A.
Memorial
chosen
Memorial is a prominent Russian human rights organization known for documenting Soviet-era political repression and advocating for civil liberties.
-
B.
The Memorial
The Memorial is a novel by Christopher Isherwood that explores the emotional aftermath of World War I on an English family and their shifting relationships.
-
C.
Remembrance
Remembrance is a novel by Theresa Breslin that explores themes of love, loss, and social change against the backdrop of World War I.
-
D.
Remembrance
"Remembrance" is a track from Lil Durk's mixtape "Signed to the Streets 3," reflecting his signature melodic drill style and introspective street narratives.
-
E.
Wall of Remembrance
The Wall of Remembrance is a commemorative structure honoring the crew of HMAS Sydney II, inscribed with the names of those lost in the ship’s sinking during World War II.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543c9d26c8190a80dda411cd0c9ac |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:43 a.m.