Triple
T7106839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casket Letters controversy |
E165610
|
entity |
| Predicate | container |
P46132
|
FINISHED |
| Object | silver casket |
—
|
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: silver casket | Statement: [Casket Letters controversy, container, silver casket]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: container Context triple: [Casket Letters controversy, container, silver casket]
-
A.
containerType
Indicates the specific kind or category of container associated with or used to hold an entity.
-
B.
containedWith
chosen
Indicates that one entity is located or kept inside the bounds or interior space of another entity.
-
C.
capsule
Indicates that one entity is a capsule containing, enclosing, or encapsulating another entity.
-
D.
cargo
Indicates that one entity is the goods or load being transported, carried, or shipped by another entity.
-
E.
compartment
Indicates that one entity is a distinct, enclosed or functionally separated part or section within another entity.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5b9f13c8190a14898f241ec17a4 |
completed | March 27, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:42 p.m.