Triple
T31150806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colorado congressional delegation |
E794064
|
entity |
| Predicate | senateDelegationMember |
P14818
|
FINISHED |
| Object | Michael Bennet |
—
|
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: Michael Bennet | Statement: [Colorado congressional delegation, senateDelegationMember, Michael Bennet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senateDelegationMember Context triple: [Colorado congressional delegation, senateDelegationMember, Michael Bennet]
-
A.
senateMembership
chosen
Indicates that an entity holds or has held a position as a member of a senate.
-
B.
federalRepresentative
Indicates that one entity serves as an official representative of another entity at the federal (national) level of government.
-
C.
ALRepresentative
Indicates that one entity serves as an official representative or delegate acting on behalf of another entity.
-
D.
wasARepresentativeFor
Indicates that one entity served as an official representative or delegate acting on behalf of another entity.
-
E.
NLRepresentative
Indicates a relationship where one entity serves as an official representative or delegate for another within the Netherlands.
- 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6bbbef7a88190b0affdec1d41c1e0 |
completed | May 3, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: April 29, 2026, 9:06 p.m.