Triple
T8215267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Litvinenko |
E191915
|
entity |
| Predicate | deathAttracting |
P81530
|
FINISHED |
| Object | worldwide media attention |
—
|
LITERAL 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: worldwide media attention | Statement: [Alexander Litvinenko, deathAttracting, worldwide media attention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathAttracting Context triple: [Alexander Litvinenko, deathAttracting, worldwide media attention]
-
A.
deathBy
Indicates a relationship where one entity’s death is caused by another entity, event, or factor.
-
B.
deathApprox
Indicates that an entity’s death occurred at an approximate, rather than exact, time or date.
-
C.
deathTriggers
Indicates that the occurrence of one entity’s death causes or initiates another event, state, or process.
-
D.
deathPrecedes
Indicates that one entity’s death occurs earlier in time than another specified event or entity’s death.
-
E.
deathDescribedIn
Indicates that a person's death is documented, narrated, or otherwise detailed within a particular source or description.
- F. None of above. chosen
Provenance (4 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb776c5cd081908259b1c3d12285de |
completed | March 31, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb4ab5162c8190bddd696078689895 |
completed | March 31, 2026, 4:16 a.m. |
Created at: March 30, 2026, 5:44 p.m.