Triple
T27557430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Lincoln in Abe Lincoln in Illinois |
E695675
|
entity |
| Predicate | depictsPeriodOfLife |
P154670
|
FINISHED |
| Object | Abraham Lincoln’s early life |
—
|
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: Abraham Lincoln’s early life | Statement: [Abraham Lincoln in Abe Lincoln in Illinois, depictsPeriodOfLife, Abraham Lincoln’s early life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsPeriodOfLife Context triple: [Abraham Lincoln in Abe Lincoln in Illinois, depictsPeriodOfLife, Abraham Lincoln’s early life]
-
A.
depictsLifePeriod
Indicates that one entity visually represents or portrays a specific period or phase in the life of another entity.
-
B.
focusesOnPeriodOfLifeOf
chosen
Indicates that something (such as a work, study, or description) is concerned with or centers on a particular period in an entity’s life.
-
C.
portraysFromAge
Indicates that one entity depicts another entity starting from a specified age of the depicted entity.
-
D.
describesLifeStage
Indicates that one entity specifies or characterizes the life stage or developmental phase of another entity.
-
E.
depictsAgeContrast
Indicates a relationship where one entity visually represents or highlights a contrast in age between two or more entities.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 1:37 p.m.