Triple
T1100815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Psalm 150 |
E24374
|
entity |
| Predicate | openingWordsEnglish |
P829
|
FINISHED |
| Object | Praise ye the LORD |
—
|
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: Praise ye the LORD | Statement: [Psalm 150, openingWordsEnglish, Praise ye the LORD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingWordsEnglish Context triple: [Psalm 150, openingWordsEnglish, Praise ye the LORD]
-
A.
openingLine
chosen
Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
-
B.
openingInvocation
Indicates the act of formally beginning an event, process, or sequence through an initiating statement, action, or call.
-
C.
openingWorkOf
Indicates that one work serves as the first or introductory piece in relation to another work, such as the opening item in a sequence or collection.
-
D.
opens
Indicates that one entity causes or allows another entity (such as an object, space, or resource) to become accessible or no longer closed.
-
E.
languageBegins
Indicates that a particular language starts to be used, recognized, or becomes relevant at a specific point in time or context.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9c079f48190a0e0ddda182f7a01 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b745ef3481909a7ce4647c8567b3 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.