Triple
T2097302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamar Alexander |
E37010
|
entity |
| Predicate | officeEndTime (U.S. Secretary of Education) |
P4346
|
FINISHED |
| Object | 1993-01-20 |
—
|
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: 1993-01-20 | Statement: [Lamar Alexander, officeEndTime (U.S. Secretary of Education), 1993-01-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTime (U.S. Secretary of Education) Context triple: [Lamar Alexander, officeEndTime (U.S. Secretary of Education), 1993-01-20]
-
A.
officeEndForMinisterOfEducation
Indicates the point in time or event at which a person's term as Minister of Education comes to an end.
-
B.
officeStartForMinisterOfEducation
Indicates the date or point in time when a person begins serving as the Minister of Education.
-
C.
officeholderEndTime
chosen
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
-
D.
endTime (as Attorney General)
Indicates the point in time when an entity’s role or tenure as Attorney General concludes.
-
E.
officeEnded
Indicates that a person’s term in an office or position has concluded at a specified time or under certain conditions.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba9cb84481909fe0a66c020b8864 |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b6274081909df36cd7a7c6a675 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.