Triple
T18253374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Conyers |
E437156
|
entity |
| Predicate | officeStartForU.S.RepresentativeFromMichigan |
P63636
|
FINISHED |
| Object | 1965-01-03 |
—
|
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: 1965-01-03 | Statement: [John Conyers, officeStartForU.S.RepresentativeFromMichigan, 1965-01-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartForU.S.RepresentativeFromMichigan Context triple: [John Conyers, officeStartForU.S.RepresentativeFromMichigan, 1965-01-03]
-
A.
officeStartTime (U.S. Representative)
Indicates the time at which a U.S. Representative officially begins their term in office.
-
B.
startTime (U.S. Representative)
chosen
Indicates the date and time at which a person begins serving as a U.S. Representative.
-
C.
startTime (chairperson of Michigan Republican Party)
Indicates the point in time when an individual began serving as chairperson of the Michigan Republican Party.
-
D.
officeStartTime (United States Senator)
Indicates the time at which a United States Senator’s term in office officially begins.
-
E.
federalRepresentative
Indicates that one entity serves as an official representative of another entity at the federal (national) level of government.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd82f81c81909ad4455954bd8caa |
completed | April 19, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:33 a.m.