Triple
T28789553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyler |
E726911
|
entity |
| Predicate | John Tyler |
P165588
|
FINISHED |
| Object | 10th president of the United States |
—
|
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: 10th president of the United States | Statement: [Tyler, John Tyler, 10th president of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: John Tyler Context triple: [Tyler, John Tyler, 10th president of the United States]
-
A.
thirdPresident
Indicates that the subject holds the position of being the third president in a specified ordered sequence of presidents.
-
B.
Benjamin Harrison
Indicates a relationship or action involving Benjamin Harrison, typically denoting that an entity is associated with, related to, or characterized by this specific individual.
-
C.
Daniel D. Tompkins
Indicates a relationship or action involving the entity named “Daniel D. Tompkins,” though the specific nature of the relationship is unclear without additional context.
-
D.
secondPresident
Indicates that the subject is the second person to hold the office of president of the specified entity or organization.
-
E.
firstElectedPresident
Indicates that the subject became the first person ever elected to the office of president of the specified entity or organization.
- 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_69f0319aabec81908368720196f69a35 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6596b210481908af6cd555748f75b |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 6:22 a.m.