Triple
T26675000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George H. W. Bush–Dan Quayle ticket |
E672432
|
entity |
| Predicate | presidentialNomineeBirthYear |
P162351
|
FINISHED |
| Object | 1924 |
—
|
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: 1924 | Statement: [George H. W. Bush–Dan Quayle ticket, presidentialNomineeBirthYear, 1924]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentialNomineeBirthYear Context triple: [George H. W. Bush–Dan Quayle ticket, presidentialNomineeBirthYear, 1924]
-
A.
electedPresidentBirthYear
Indicates the year in which the person who was elected president was born.
-
B.
yearOfPresidentialNomination
Indicates the specific year in which an individual was formally nominated as a presidential candidate.
-
C.
yearOfPresidentialBid
Indicates the specific year in which an individual made a bid or campaign to become president.
-
D.
ageAtPresidentialElection
Indicates the age a person was at the time of a specified presidential election.
-
E.
APA_PresidencyYear
Indicates the specific year during which an individual held the presidency of the American Psychological Association.
- 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_69eecda13424819092b17942c4edf722 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6250321088190ae3ed1dc9f2fcd03 |
completed | May 2, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f62473a38481909b919f88ffb5b492 |
completed | May 2, 2026, 4:21 p.m. |
Created at: April 27, 2026, 3:15 a.m.