Triple
T16022787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell Ziskey |
E388643
|
entity |
| Predicate | reluctanceReason |
P34489
|
FINISHED |
| Object | disinterest in military discipline |
—
|
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: disinterest in military discipline | Statement: [Russell Ziskey, reluctanceReason, disinterest in military discipline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reluctanceReason Context triple: [Russell Ziskey, reluctanceReason, disinterest in military discipline]
-
A.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
B.
reasonForDecline
Indicates the explanation or cause given for why something was rejected, reduced, or not accepted.
-
C.
reasonWritten
Indicates that one entity is the reason or motivation for which another entity was written or authored.
-
D.
reasonForNonParticipation
chosen
Indicates the explanation or cause for why an entity did not take part in a specified activity or event.
-
E.
hesitatesTo
Indicates that an entity shows reluctance, delay, or uncertainty before performing a particular action or engaging in a specific relationship.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.