Triple
T8309849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliot Richardson |
E194562
|
entity |
| Predicate | termStartAsAttorneyGeneral |
P31762
|
FINISHED |
| Object | 1973-05 |
—
|
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: 1973-05 | Statement: [Eliot Richardson, termStartAsAttorneyGeneral, 1973-05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsAttorneyGeneral Context triple: [Eliot Richardson, termStartAsAttorneyGeneral, 1973-05]
-
A.
termStartAsAttorneyGeneralOfCalifornia
Indicates the date or point in time when an individual began serving as the Attorney General of California.
-
B.
termStartAsAttorneyGeneralOfOhio
Indicates the date or point in time when an individual begins serving in the official role of Attorney General of Ohio.
-
C.
startTime (as Attorney General)
chosen
Indicates the date and time at which an individual began serving in the role of Attorney General.
-
D.
startTimeAsAssistantAttorneyGeneral
Indicates the point in time when an individual began serving in the role of Assistant Attorney General.
-
E.
startTimeAsSolicitorGeneral
Indicates the point in time when an individual began serving in the role of Solicitor General.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2d2c30819095075940479b75a7 |
completed | March 31, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69cb70bb3a708190bc705222092da614 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:54 p.m.