Triple
T2862271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George M. Dallas |
E63348
|
entity |
| Predicate | vicePresidentNumber |
P42776
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [George M. Dallas, vicePresidentNumber, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vicePresidentNumber Context triple: [George M. Dallas, vicePresidentNumber, 11]
-
A.
vicePresident
Indicates that one entity holds the role of second-in-command or deputy leader to another entity within an organizational or governmental hierarchy.
-
B.
vicePresidentElect
Indicates that the subject is the person chosen to become vice president of the object (such as a country or organization) but has not yet assumed the office.
-
C.
firstVicePresidentialOccupant
Indicates that the subject is the very first individual to hold the office of vice president for the specified entity or position.
-
D.
vicePresidentAfterElection
Indicates that one person holds the office of vice president following a specified election or electoral event.
-
E.
vicePresidentDuringSecondTerm
Indicates that one entity served as vice president during the second term of another entity’s tenure in office.
- F. None of above. chosen
Provenance (4 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf8df8288190816767169ea7cbf9 |
completed | March 7, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddedd72c819094a9c4161af07780 |
completed | March 7, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:02 p.m.