Triple
T3016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert Hoover |
E56
|
entity |
| Predicate | presidentialTermEnd |
P145
|
FINISHED |
| Object | 1933-03-04 |
—
|
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: 1933-03-04 | Statement: [Herbert Hoover, presidentialTermEnd, 1933-03-04]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentialTermEnd Context triple: [Herbert Hoover, presidentialTermEnd, 1933-03-04]
-
A.
termCountAsPresident
Indicates the number of terms an individual has served in the role of president.
-
B.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
-
C.
endTimeOfPositionHeld: President of the United States
chosen
Indicates the date and time when an individual's tenure in the position of President of the United States concludes.
-
D.
firstInOfficeTo
Indicates that one entity was the earliest or first to hold a particular office or position in relation to another entity or context.
-
E.
endYear
Indicates the year in which an event, state, or relationship comes to an end.
- 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_69a2328f0e848190ac2840eaf2d5ebd2 |
completed | Feb. 28, 2026, 12:10 a.m. |
| NER | Named-entity recognition | batch_69a2346846608190b6b40d31f1dbd685 |
completed | Feb. 28, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69a233c396ec8190986608d07fb251d4 |
completed | Feb. 28, 2026, 12:16 a.m. |
Created at: Feb. 28, 2026, 12:13 a.m.