Triple
T1378214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles G. Dawes |
E29273
|
entity |
| Predicate | ordinalNumberAsVicePresident |
P2953
|
FINISHED |
| Object | 30 |
—
|
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: 30 | Statement: [Charles G. Dawes, ordinalNumberAsVicePresident, 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordinalNumberAsVicePresident Context triple: [Charles G. Dawes, ordinalNumberAsVicePresident, 30]
-
A.
firstVicePresidentialOccupant
Indicates that the subject is the very first individual to hold the office of vice president for the specified entity or position.
-
B.
ordinalInOffice
chosen
Indicates the numerical order or rank of an individual’s term or tenure in a particular office or position.
-
C.
vicePresident
Indicates that one entity holds the role of second-in-command or deputy leader to another entity within an organizational or governmental hierarchy.
-
D.
succeededAsVicePresidentBy
Indicates that one individual ceased serving as vice president and was followed in that office by another specific individual.
-
E.
vicePresidentAfterElection
Indicates that one person holds the office of vice president following a specified election or electoral event.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3173548819082aec7c1af9c577c |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4befcabdc8190a9f05d002603f81c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.