Triple
T3689267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stalin’s death mask |
E78303
|
entity |
| Predicate | portraysState |
P50333
|
FINISHED |
| Object | post-mortem stillness |
—
|
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: post-mortem stillness | Statement: [Stalin’s death mask, portraysState, post-mortem stillness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysState Context triple: [Stalin’s death mask, portraysState, post-mortem stillness]
-
A.
displayState
Indicates the current visual or presentation status of an item, such as whether and how it is shown, hidden, or rendered in a user interface or display context.
-
B.
portraysGroup
Indicates that one entity depicts, represents, or visually illustrates a group of entities as its subject.
-
C.
principalState
Indicates that an entity serves as the primary or main state associated with another entity or context.
-
D.
portraysEvent
Indicates that one entity depicts, represents, or illustrates a particular event.
-
E.
portrayalReceived
Indicates that an entity has been depicted or represented by another entity, such as through an image, performance, 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4cb47208190b1321af859d02c51 |
completed | March 8, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb97cdb788190a5ce96b21bd157ab |
completed | March 8, 2026, 6:01 p.m. |
Created at: March 8, 2026, 3:26 p.m.