Triple
T27979830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Sturgeon |
E706588
|
entity |
| Predicate | startTime (term as U.S. Senator) |
P122582
|
FINISHED |
| Object | 1840 |
—
|
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: 1840 | Statement: [Daniel Sturgeon, startTime (term as U.S. Senator), 1840]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (term as U.S. Senator) Context triple: [Daniel Sturgeon, startTime (term as U.S. Senator), 1840]
-
A.
startTime (United States Senator)
chosen
Indicates the point in time at which an individual’s service as a United States Senator begins.
-
B.
startTimeAsUnitedStatesSenator
Indicates the date and time at which an individual began serving in the role of United States Senator.
-
C.
startTime (U.S. Representative)
Indicates the date and time at which a person begins serving as a U.S. Representative.
-
D.
startTime (as U.S. senator from North Carolina)
Indicates the date and time at which an individual began serving as a U.S. senator representing the state of North Carolina.
-
E.
startTime (Senate Majority Leader)
Indicates the specific time at which the person serves or begins serving as Senate Majority Leader.
- 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: April 27, 2026, 7:43 p.m.