Triple
T472627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samantha Power |
E8591
|
entity |
| Predicate | officeStartTime (USAID Administrator) |
P1814
|
FINISHED |
| Object | 2021-05-03 |
—
|
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: 2021-05-03 | Statement: [Samantha Power, officeStartTime (USAID Administrator), 2021-05-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (USAID Administrator) Context triple: [Samantha Power, officeStartTime (USAID Administrator), 2021-05-03]
-
A.
officeStart
Indicates the time or date at which an entity’s term, role, or period of holding office begins.
-
B.
typicalBusinessHourStartLocalTime
Indicates the local time at which a business’s normal operating hours typically begin.
-
C.
officeStartForPresident
Indicates the date or point in time when a person begins serving in the role of president.
-
D.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
-
E.
officeHolderStartTime
chosen
Indicates the date and time at which an individual begins holding a particular office or position.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eff24108819092fdb85019ec4089 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edecefb081908331ef8b9edf6636 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.