Triple
T7476664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles T. Schenck |
E176647
|
entity |
| Predicate | languageOfLeaflets |
P48899
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Charles T. Schenck, languageOfLeaflets, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfLeaflets Context triple: [Charles T. Schenck, languageOfLeaflets, English]
-
A.
languageOfTranslations
Indicates that one entity is the language into which another entity (such as a text or work) has been translated.
-
B.
languageOfProduct
chosen
Indicates the language in which a product is written, labeled, presented, or otherwise made available.
-
C.
languageOfLetters
Indicates that one entity is the language in which the other entity’s letters or written correspondence are composed.
-
D.
languageOfDocumentation
Indicates the language in which the documentation for an entity is written or provided.
-
E.
languageOfRecords
Indicates the language in which the records are written or maintained.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4ee23d081908e05658a651661fc |
completed | March 27, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:41 p.m.