Triple
T24615597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | As I Went Out One Morning |
E609247
|
entity |
| Predicate | referencedFigure |
P44615
|
FINISHED |
| Object | Tom Paine |
—
|
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: Tom Paine | Statement: [As I Went Out One Morning, referencedFigure, Tom Paine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referencedFigure Context triple: [As I Went Out One Morning, referencedFigure, Tom Paine]
-
A.
linkedFigure
chosen
Indicates that one figure is associated or connected to another figure, typically as a reference or related visual element.
-
B.
coreFigure
Indicates that an entity serves as the central or most important figure within a given context, group, or structure.
-
C.
parentFigure
Indicates a person who fulfills a parental or caregiving role toward another individual, whether biologically related or not.
-
D.
discussesFigure
Indicates that one entity engages in discussion or analysis specifically about a particular figure (such as a person, character, or notable individual).
-
E.
includesFiguresFrom
Indicates that one entity contains or incorporates figures that originate from or are part of another entity.
- 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.