Triple
T4810389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel D. Tompkins |
E107053
|
entity |
| Predicate | officeEndTime (Governor of New York) |
P60262
|
FINISHED |
| Object | 1817-02-24 |
—
|
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: 1817-02-24 | Statement: [Daniel D. Tompkins, officeEndTime (Governor of New York), 1817-02-24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTime (Governor of New York) Context triple: [Daniel D. Tompkins, officeEndTime (Governor of New York), 1817-02-24]
-
A.
officeEndForMayorOfNewYorkCity
Indicates the date or point in time when a person’s term as Mayor of New York City ends.
-
B.
officeStartTime (Governor of California)
Indicates the time at which the Governor of California officially begins their term in office.
-
C.
officeEndTime (Governor of Kursk Oblast)
Indicates the time at which the Governor of Kursk Oblast’s term in office concludes.
-
D.
officeStartTime (Governor of Illinois)
Indicates the time at which the Governor of Illinois officially begins their term in office.
-
E.
officeStartTime (Governor of Tennessee)
Indicates the time at which the Governor of Tennessee officially begins their term in office.
- F. None of above. chosen
Provenance (4 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1c43a48190a65e56b1624a2339 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:23 p.m.