Triple
T26581643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Markey |
E667094
|
entity |
| Predicate | electedToUSSenateInSpecialElection |
P80448
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Ed Markey, electedToUSSenateInSpecialElection, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electedToUSSenateInSpecialElection Context triple: [Ed Markey, electedToUSSenateInSpecialElection, 2013]
-
A.
firstElectedToSenate
chosen
Indicates the event or relationship in which a person is initially chosen or wins election to serve as a member of a senate.
-
B.
afterElectionSenator
Indicates that one person holds the position of senator following a specified election.
-
C.
succeededBy (U.S. Senate seat)
Indicates that one U.S. Senate seat holder is directly followed in office by another specific individual.
-
D.
wasElectedToCongressFirstTime
Indicates that an individual was elected to serve in a national legislative body (Congress) for the first time.
-
E.
canBeFilledBySpecialElection
Indicates that a vacant position or office is eligible to be filled through a special election process rather than a regular or scheduled election.
- 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_69ee9cfb7e548190b60a9031182f5a7e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 27, 2026, 2:03 a.m.