Triple
T1454579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Years of Upheaval |
E31368
|
entity |
| Predicate | notableEventDescribed |
P2107
|
FINISHED |
| Object | resignation of President Richard Nixon |
—
|
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: resignation of President Richard Nixon | Statement: [Years of Upheaval, notableEventDescribed, resignation of President Richard Nixon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEventDescribed Context triple: [Years of Upheaval, notableEventDescribed, resignation of President Richard Nixon]
-
A.
notableEventDate
Indicates the date on which a notable or significant event associated with the subject occurred.
-
B.
famousForEvent
Indicates that an entity is widely known or recognized specifically because of a particular event.
-
C.
notableEventCoverage
Indicates that there is media or documented coverage specifically focused on a notable event related to the subject.
-
D.
hasHistoricalEvent
chosen
Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
-
E.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c57fead881909a47188ce7312406 |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47cdbd0819092022344a2f4ad7b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.