Triple
T10657547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Anderson |
E251131
|
entity |
| Predicate | termEndAsUSSenatorFromTennessee |
P69808
|
FINISHED |
| Object | 1815 |
—
|
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: 1815 | Statement: [Joseph Anderson, termEndAsUSSenatorFromTennessee, 1815]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termEndAsUSSenatorFromTennessee Context triple: [Joseph Anderson, termEndAsUSSenatorFromTennessee, 1815]
-
A.
termEndAsGovernorOfTennessee
Indicates the date or point in time when an individual’s service as Governor of Tennessee came to an end.
-
B.
endTimeAsSpeakerOfTennesseeHouse
Indicates the point in time at which an individual’s role as Speaker of the Tennessee House of Representatives concludes.
-
C.
endTimeAsUSSenator
chosen
Indicates the date and time at which an individual’s service as a U.S. Senator concludes.
-
D.
servedAsGovernorOfTennesseeInNonconsecutiveTerms
Indicates that the subject held the office of Governor of Tennessee in multiple terms that were not consecutive, with at least one gap in service between them.
-
E.
endTimeAsGovernorOfKentuckySecondTerm
Indicates the date and time when an individual's second term serving as Governor of Kentucky comes to an end.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e0157dbc81909ef7d61f65b2fd93 |
completed | April 8, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:07 p.m.