Triple
T22076352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S. M. Sikri |
E545530
|
entity |
| Predicate | termAsAdvocateGeneralStart |
P146546
|
FINISHED |
| Object | 1949 |
—
|
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: 1949 | Statement: [S. M. Sikri, termAsAdvocateGeneralStart, 1949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsAdvocateGeneralStart Context triple: [S. M. Sikri, termAsAdvocateGeneralStart, 1949]
-
A.
startTimeAsSolicitorGeneral
Indicates the point in time when an individual began serving in the role of Solicitor General.
-
B.
startTime (as Attorney General)
Indicates the date and time at which an individual began serving in the role of Attorney General.
-
C.
startTimeAsAssistantAttorneyGeneral
Indicates the point in time when an individual began serving in the role of Assistant Attorney General.
-
D.
termStartAsAttorneyGeneralOfCalifornia
Indicates the date or point in time when an individual began serving as the Attorney General of California.
-
E.
termStartAsAttorneyGeneralOfOhio
Indicates the date or point in time when an individual begins serving in the official role of Attorney General of Ohio.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b2bf60819082d38e671f160b0f |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69e6fad59ef48190b62a2af636918a15 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:28 p.m.