Triple
T37618728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Will Not Divide Us |
E936001
|
entity |
| Predicate | durationIntended |
P40755
|
FINISHED |
| Object | entire duration of Donald Trump’s presidency |
—
|
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: entire duration of Donald Trump’s presidency | Statement: [He Will Not Divide Us, durationIntended, entire duration of Donald Trump’s presidency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationIntended Context triple: [He Will Not Divide Us, durationIntended, entire duration of Donald Trump’s presidency]
-
A.
intendedDuration
chosen
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
-
B.
durationDepicted
Indicates that a representation (such as a media item or depiction) specifies or conveys the length of time over which an event, process, or state occurs.
-
C.
durationInitial
Indicates the initial length of time associated with an event, state, or process at its starting point.
-
D.
timeIntervalLength
Indicates the duration or length of a specified time interval.
-
E.
duración
Indicates the length of time or period over which something lasts or continues.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.