Triple
T8253019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolph Schnaubelt |
E193000
|
entity |
| Predicate | hasArticleIn |
P15329
|
FINISHED |
| Object | histories of the Haymarket affair |
—
|
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: histories of the Haymarket affair | Statement: [Rudolph Schnaubelt, hasArticleIn, histories of the Haymarket affair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArticleIn Context triple: [Rudolph Schnaubelt, hasArticleIn, histories of the Haymarket affair]
-
A.
containsArticle
Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
-
B.
containsArticleOn
chosen
Indicates that one entity includes or features an article about another entity within its content or collection.
-
C.
hasArticleSystem
Indicates that a language or system employs a structured set of articles (such as definite or indefinite markers) as part of its grammar.
-
D.
hasAdditionalArticlesSince
Indicates that an entity has gained one or more new articles since a specified prior point in time or state.
-
E.
hasPub
Indicates that an entity is associated with, or has access to, a public house (pub) as a related establishment or feature.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78cbc7cc81909931440e95d6e691 |
completed | March 31, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69cb36b6d5548190b665a6cce14c69f7 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.