Triple
T3804874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Graham Davis Jr. |
E91780
|
entity |
| Predicate | officeStartTime (California State Controller) |
P1383
|
FINISHED |
| Object | 1987-01-05 |
—
|
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: 1987-01-05 | Statement: [Joseph Graham Davis Jr., officeStartTime (California State Controller), 1987-01-05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (California State Controller) Context triple: [Joseph Graham Davis Jr., officeStartTime (California State Controller), 1987-01-05]
-
A.
officeStartTime (Governor of Illinois)
Indicates the time at which the Governor of Illinois officially begins their term in office.
-
B.
officeStartTime (Governor of Tennessee)
Indicates the time at which the Governor of Tennessee officially begins their term in office.
-
C.
officeStartTime (Chief of the Defence Force)
Indicates the time at which the person begins their term in the role of Chief of the Defence Force.
-
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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.