Triple
T2097301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamar Alexander |
E37010
|
entity |
| Predicate | officeStartTime (U.S. Secretary of Education) |
P1383
|
FINISHED |
| Object | 1991-03-22 |
—
|
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: 1991-03-22 | Statement: [Lamar Alexander, officeStartTime (U.S. Secretary of Education), 1991-03-22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (U.S. Secretary of Education) Context triple: [Lamar Alexander, officeStartTime (U.S. Secretary of Education), 1991-03-22]
-
A.
officeStartForMinisterOfEducation
Indicates the date or point in time when a person begins serving as the Minister of Education.
-
B.
officeEndForMinisterOfEducation
Indicates the point in time or event at which a person's term as Minister of Education comes to an end.
-
C.
officeStartForPresident
Indicates the date or point in time when a person begins serving in the role of president.
-
D.
officeStart
chosen
Indicates the time or date at which an entity’s term, role, or period of holding office begins.
-
E.
officeStartAfter
Indicates that one entity’s term or period in office begins after another specified time or event.
- 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.