Triple

T28809488
Position Surface form Disambiguated ID Type / Status
Subject Tom Baxter E727468 entity
Predicate realWorldContext P2919 FINISHED
Object Great Depression-era New Jersey
Great Depression-era New Jersey was a U.S. state grappling with severe economic hardship, high unemployment, and significant social and political change during the 1930s.
 E1832783 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Great Depression-era New Jersey
Triple: [Tom Baxter, realWorldContext, Great Depression-era New Jersey]
Generated description
Great Depression-era New Jersey was a U.S. state grappling with severe economic hardship, high unemployment, and significant social and political change during the 1930s.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a24a280029c8190a9ce921d20895395 completed June 6, 2026, 10:43 p.m.
NEDg Description generation batch_6a24a7c39c648190a0a0083365e03597 completed June 6, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_6a24ab8b372081909663e203fd7354d7 completed June 6, 2026, 11:21 p.m.
PD Predicate disambiguation batch_69f65760fd3081908ffe014a5e2bf069 completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 6:30 a.m.