Triple
T33855378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Crispin's Day |
E867757
|
entity |
| Predicate | languageOfFamousSpeech |
P201982
|
FINISHED |
| Object | Early Modern 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: Early Modern English | Statement: [Saint Crispin's Day, languageOfFamousSpeech, Early Modern English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfFamousSpeech Context triple: [Saint Crispin's Day, languageOfFamousSpeech, Early Modern English]
-
A.
languageOfHonoredFigure
Indicates the language associated with or used by the person who is being honored.
-
B.
languagesSpoken
Indicates that an entity is able to communicate using one or more specified languages.
-
C.
speaksIn
Indicates that an entity uses or expresses itself in a particular language or medium when speaking.
-
D.
languageOfRuler
Indicates the language customarily spoken or officially used by a ruler in exercising their authority or governance.
-
E.
isSpokenLanguageOf
Indicates that a particular language is used as the spoken language by a specified person, group, or community.
- F. None of above. chosen
Provenance (4 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a003ffb548081908ba64fd2b570f42f |
completed | May 10, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_6a003fcecf788190a13dff38b9de3414 |
completed | May 10, 2026, 8:20 a.m. |
| PDg | Predicate description generation | batch_6a003ffa64e48190b37cce7d1c939b78 |
completed | May 10, 2026, 8:21 a.m. |
Created at: May 1, 2026, 1:47 a.m.