Triple
T25014434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Wyman |
E626086
|
entity |
| Predicate | officeStartTime (Chair of Connecticut Democratic Party) |
P165290
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Nancy Wyman, officeStartTime (Chair of Connecticut Democratic Party), 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Chair of Connecticut Democratic Party) Context triple: [Nancy Wyman, officeStartTime (Chair of Connecticut Democratic Party), 2019]
-
A.
officeStartTime (House Republican Conference Chair)
Indicates the time at which the individual began serving in the role of House Republican Conference Chair.
-
B.
officeStartTime (Connecticut Comptroller)
Indicates the time at which the Connecticut Comptroller’s term in office officially begins.
-
C.
officeStartTime (U.S. Representative)
Indicates the time at which a U.S. Representative officially begins their term in office.
-
D.
officeStartTime (United States Senator)
Indicates the time at which a United States Senator’s term in office officially begins.
-
E.
officeStartTime (State Senator)
Indicates the time at which a State Senator’s term in office officially begins.
- 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f658a91ba0819084fbe3dd8a09f7cd |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f657f2c8b08190bfeb3173ef78207d |
completed | May 2, 2026, 8 p.m. |
Created at: April 18, 2026, 6:06 a.m.