Triple
T26581641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Markey |
E667094
|
entity |
| Predicate | senatorFrom |
P9500
|
FINISHED |
| Object | Massachusetts |
—
|
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: Massachusetts | Statement: [Ed Markey, senatorFrom, Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senatorFrom Context triple: [Ed Markey, senatorFrom, Massachusetts]
-
A.
federalRepresentative
Indicates that one entity serves as an official representative of another entity at the federal (national) level of government.
-
B.
hasFormerSenator
Indicates that an entity previously held the position of senator for another entity (such as a state, country, or organization).
-
C.
wasARepresentativeFor
Indicates that one entity served as an official representative or delegate acting on behalf of another entity.
-
D.
ALRepresentative
Indicates that one entity serves as an official representative or delegate acting on behalf of another entity.
-
E.
hasUSSenator
chosen
Indicates that a specified state or jurisdiction is represented by a particular individual serving as a United States Senator.
- 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_69f614e1b2088190bd5c719e83b60dcf |
completed | May 2, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:03 a.m.