Triple
T32213428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Van Hollen |
E822865
|
entity |
| Predicate | precededByInSenateSeat |
P25180
|
FINISHED |
| Object | Barbara Mikulski |
—
|
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: Barbara Mikulski | Statement: [Chris Van Hollen, precededByInSenateSeat, Barbara Mikulski]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByInSenateSeat Context triple: [Chris Van Hollen, precededByInSenateSeat, Barbara Mikulski]
-
A.
precededInSenateBy
chosen
Indicates that one officeholder directly held a given Senate seat before another officeholder, in terms of succession to that seat.
-
B.
precededByAsSenateMinorityLeader
Indicates that one individual previously served as Senate Minority Leader before another individual assumed that role.
-
C.
precededByAsSenateMajorityLeader
Indicates that one individual previously served as Senate Majority Leader immediately before another individual.
-
D.
precededByAsUSRepresentative
Indicates that one individual previously served as a U.S. Representative before being succeeded in that role by another individual.
-
E.
precededByOfficeHolder
Indicates that one office holder directly held a position before another office holder in a sequence of occupants of the same office.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 1, 2026, 12:37 a.m.