Triple
T28923942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera Claythorne |
E733592
|
entity |
| Predicate | presentAtDeathsOf |
P17673
|
FINISHED |
| Object | multiple guests on Soldier Island |
—
|
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: multiple guests on Soldier Island | Statement: [Vera Claythorne, presentAtDeathsOf, multiple guests on Soldier Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentAtDeathsOf Context triple: [Vera Claythorne, presentAtDeathsOf, multiple guests on Soldier Island]
-
A.
posthumousPresence
Indicates the continued influence, impact, or perceived presence of an entity after its death or cessation of existence.
-
B.
afterDeathOf
Indicates that one event, state, or condition occurs subsequent to and as a result of the death of a specified entity.
-
C.
associatedWithDeathOf
chosen
Indicates a relationship where one entity is connected in some relevant way to the death of another entity, such as by involvement, causation, or contextual association.
-
D.
placeOfCessation
Indicates the location where an entity’s existence, activity, or state comes to an end.
-
E.
onceDeceased
Indicates that an entity was previously dead at some point in time, regardless of its current state.
- F. None of above.
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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 28, 2026, 8:22 a.m.