Triple
T8574840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John F. Shafroth |
E203021
|
entity |
| Predicate | succeededInOfficeAsSenatorBy |
P83714
|
FINISHED |
| Object | Samuel D. Nicholson |
—
|
NE NERFINISHED |
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: Samuel D. Nicholson | Statement: [John F. Shafroth, succeededInOfficeAsSenatorBy, Samuel D. Nicholson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: succeededInOfficeAsSenatorBy Context triple: [John F. Shafroth, succeededInOfficeAsSenatorBy, Samuel D. Nicholson]
-
A.
succeededInOfficeAsSenatorFromNewYorkBy
Indicates that one individual was succeeded in the role of Senator from New York by another individual.
-
B.
succeededInOfficeAsSenatorFromMaineBy
Indicates that one individual directly succeeded another in holding the office of U.S. Senator representing the state of Maine.
-
C.
representedInSenate
Indicates that an entity serves as a representative for another entity within a senate or upper legislative chamber.
-
D.
precededInSenateBy
Indicates that one officeholder directly held a given Senate seat before another officeholder, in terms of succession to that seat.
-
E.
senateMembership
Indicates that an entity holds or has held a position as a member of a senate.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea947f188190af469babaa73ddf6 |
completed | March 31, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30e37ac8190b685df36274602b5 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:21 p.m.