Triple
T31143487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Fitzpatrick |
E793854
|
entity |
| Predicate | declinedOffice |
P438
|
FINISHED |
| Object | Vice President of the United States in 1860 |
—
|
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: Vice President of the United States in 1860 | Statement: [Benjamin Fitzpatrick, declinedOffice, Vice President of the United States in 1860]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: declinedOffice Context triple: [Benjamin Fitzpatrick, declinedOffice, Vice President of the United States in 1860]
-
A.
declinedAround
Indicates that something decreased in value, intensity, or quantity in the time period surrounding a specified point or event.
-
B.
declinedDuring
Indicates that one entity’s value, condition, or status decreased over the course of a specified time period or event.
-
C.
rejectedBy
chosen
Indicates that one entity has been refused, dismissed, or not accepted by another entity.
-
D.
rejectedAt
Indicates the time or date at which something (such as a request, application, or proposal) was formally rejected.
-
E.
designDecline
Indicates a decrease or deterioration in the quality, effectiveness, or appeal of a design over time or across versions.
- 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_69f224d2b3a48190aa9dd26fbf6eab1a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:06 p.m.