Triple
T23348823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Ammen |
E591946
|
entity |
| Predicate | Jacob Ammen |
P151974
|
FINISHED |
| Object | Union Army general |
—
|
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: Union Army general | Statement: [Daniel Ammen, Jacob Ammen, Union Army general]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Jacob Ammen Context triple: [Daniel Ammen, Jacob Ammen, Union Army general]
-
A.
Joseph Alioto
Indicates a relationship or action involving the person named Joseph Alioto, such as authorship, participation, or association in a given context.
-
B.
Cornelius Ennis
Indicates a relationship or association involving the entity or name “Cornelius Ennis,” such as authorship, attribution, or participation in an event or context.
-
C.
James Pearson
Indicates a relationship or action involving the entity named "James Pearson" and another entity, event, or attribute, depending on context.
-
D.
Jack Hively
Indicates a relationship or action involving the person named Jack Hively, such as authorship, direction, or participation in a work or event.
-
E.
Lincoln Lewis
Indicates a relationship or association involving the entity or name "Lincoln Lewis," such as authorship, participation, or attribution in a given context.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f199cb2a3c8190a5c0c8d8735256c7 |
completed | April 29, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:19 p.m.