Triple
T23583119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrel Bell |
E582261
|
entity |
| Predicate | termStartAsU.S.SecretaryOfEducation |
P152801
|
FINISHED |
| Object | 1981-01-22 |
—
|
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: 1981-01-22 | Statement: [Terrel Bell, termStartAsU.S.SecretaryOfEducation, 1981-01-22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsU.S.SecretaryOfEducation Context triple: [Terrel Bell, termStartAsU.S.SecretaryOfEducation, 1981-01-22]
-
A.
succeededBy (U.S. Secretary of Education)
Indicates the person who directly followed a given U.S. Secretary of Education in holding that office.
-
B.
termStartAsSecretaryOfCommerce
Indicates the date or point in time when an individual begins serving in the role of Secretary of Commerce.
-
C.
termStartAsCaliforniaSecretaryOfState
Indicates the date or point in time when an individual begins serving in the role of California Secretary of State.
-
D.
termStartAsSecretaryOfStateOfIowa
Indicates the date on which an individual began serving as Secretary of State of Iowa.
-
E.
termStartAsOhioSecretaryOfState
Indicates the date or point in time when an individual begins serving in the role of Ohio Secretary of State.
- F. None of above. chosen
Provenance (4 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_69e248f8d8248190acd5aee77f0d1709 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b02e19808190a41bce305f6cd5da |
completed | April 29, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:40 p.m.