Triple
T9383916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darius N. Couch |
E225856
|
entity |
| Predicate | reenteredServiceYear |
P58024
|
FINISHED |
| Object | 1861 |
—
|
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: 1861 | Statement: [Darius N. Couch, reenteredServiceYear, 1861]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reenteredServiceYear Context triple: [Darius N. Couch, reenteredServiceYear, 1861]
-
A.
enteredServiceYearWithUSN
Indicates the year in which an entity (such as a vessel or asset) officially entered active service with the United States Navy.
-
B.
readmissionYear
chosen
Indicates the calendar year in which a subject is readmitted after a prior discharge or departure.
-
C.
reversionYear
Indicates the year in which something returns to a previous state, condition, or ownership.
-
D.
returnedToManagingYear
Indicates that an entity has resumed or gone back to a previously assigned managing year after a change or interruption.
-
E.
redesignationYear
Indicates the year in which something was officially redesignated, renamed, or assigned a new status or classification.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50c23e7881908112597a1771afa5 |
completed | April 1, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69cca53bd6ec81909bf403ce304e5c08 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:44 p.m.