Triple
T2033904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgomery Ward |
E44578
|
entity |
| Predicate | catalogIntroduced |
P20407
|
FINISHED |
| Object | 1872 |
—
|
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: 1872 | Statement: [Montgomery Ward, catalogIntroduced, 1872]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalogIntroduced Context triple: [Montgomery Ward, catalogIntroduced, 1872]
-
A.
catalog
chosen
Indicates the action of systematically listing, organizing, or recording items or information into a structured collection or database.
-
B.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
C.
classIntroduced
Indicates that a particular class (e.g., in a programming language or system) has been newly defined or made available within a given context or scope.
-
D.
introducedRight
Indicates that one entity formally presented or brought another entity to the attention of a third party or context, with the second entity occupying a role or position on the right side in that introduction.
-
E.
catalogueType
Indicates the classification or category assigned to an item within a catalogue or cataloging system.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb93387488190ac9d8d2746451f2e |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.