Triple
T7106852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casket Letters controversy |
E165610
|
entity |
| Predicate | involvesQuestionOf |
P13891
|
FINISHED |
| Object | authenticity of the Casket Letters |
—
|
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: authenticity of the Casket Letters | Statement: [Casket Letters controversy, involvesQuestionOf, authenticity of the Casket Letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesQuestionOf Context triple: [Casket Letters controversy, involvesQuestionOf, authenticity of the Casket Letters]
-
A.
involves
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
-
B.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
-
C.
oftenInvolvedWith
Indicates that one entity frequently participates in or is commonly associated with activities, events, or situations involving another entity.
-
D.
questionedIn
Indicates that one entity is the subject of questions or interrogation conducted by another entity, typically in a formal or investigative context.
-
E.
raisesQuestion
chosen
Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
- 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.