Triple
T28529491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humphrey’s Executor |
E722000
|
entity |
| Predicate | relatedToPresident |
P1100
|
FINISHED |
| Object | Franklin D. Roosevelt |
—
|
NE NERFINISHED |
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: Franklin D. Roosevelt | Statement: [Humphrey’s Executor, relatedToPresident, Franklin D. Roosevelt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToPresident Context triple: [Humphrey’s Executor, relatedToPresident, Franklin D. Roosevelt]
-
A.
termRelationToPresident
Indicates the nature of a person’s connection or role in relation to a president, such as their position, association, or involvement with that president.
-
B.
rightOfPresident
Indicates that one entity is positioned to the right side of the president in a spatial or ordering context.
-
C.
hasPresidentialConnection
chosen
Indicates that there exists a notable relationship, association, or link between an entity and a president or presidential office.
-
D.
relatedPresidentInitiative
Indicates that there is an association between a president and a specific initiative they launched, led, or were significantly involved in.
-
E.
affectedPresidencyOf
Indicates that one entity had an influence or impact on the course, performance, or outcomes of another entity’s presidency.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a0017dd31d08190aa5e9f72df83733a |
completed | May 10, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_6a0015a1deb88190b9cdaa60455b0a33 |
completed | May 10, 2026, 5:20 a.m. |
Created at: April 28, 2026, 3:27 a.m.