Triple
T4961615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Murphy |
E111420
|
entity |
| Predicate | startTime (as Governor of Michigan) |
P25420
|
FINISHED |
| Object | 1937-01-01 |
—
|
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: 1937-01-01 | Statement: [Frank Murphy, startTime (as Governor of Michigan), 1937-01-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (as Governor of Michigan) Context triple: [Frank Murphy, startTime (as Governor of Michigan), 1937-01-01]
-
A.
startTimeAsFedGovernor
Indicates the date and time at which an individual began serving in the role of Federal Reserve Governor.
-
B.
termStartAsGovernor
chosen
Indicates the date or point in time when an individual begins their term serving in the role of governor.
-
C.
startTime (as Attorney General)
Indicates the date and time at which an individual began serving in the role of Attorney General.
-
D.
officeHeldAsGovernor
Indicates that an entity holds or has held the official position of governor of a political or administrative region.
-
E.
startTime (Governor of New Jersey)
Indicates the point in time at which a person begins serving as Governor of New Jersey.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.