Triple
T28809488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Baxter |
E727468
|
entity |
| Predicate | realWorldContext |
P2919
|
FINISHED |
| Object | Great Depression-era New Jersey |
—
|
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: Great Depression-era New Jersey | Statement: [Tom Baxter, realWorldContext, Great Depression-era New Jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realWorldContext Context triple: [Tom Baxter, realWorldContext, Great Depression-era New Jersey]
-
A.
realWorldNote
Indicates that an entity is associated with a note or annotation that applies specifically to real-world context or usage, rather than abstract or theoretical information.
-
B.
realWorldParallel
Indicates that one entity has a counterpart, analogy, or directly corresponding situation in the real world relative to another entity.
-
C.
worldDefinitionInContext
Indicates that a particular definition of a term or concept is specified as it applies within a given context or situation.
-
D.
realWorldName
Indicates that an entity’s name in a real-world context is given or associated with another value.
-
E.
contextOf
chosen
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:30 a.m.