Triple
T36623945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simeon of Jerusalem |
E904120
|
entity |
| Predicate | speaksText |
P35243
|
FINISHED |
| Object | Nunc dimittis |
—
|
NE NERFINISHED |
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: Nunc dimittis | Statement: [Simeon of Jerusalem, speaksText, Nunc dimittis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speaksText Context triple: [Simeon of Jerusalem, speaksText, Nunc dimittis]
-
A.
givesSpeechTo
Indicates that one entity delivers a speech or formal address directed toward another entity or audience.
-
B.
speaksIn
Indicates that an entity uses or expresses itself in a particular language or medium when speaking.
-
C.
speechContent
chosen
Indicates that one entity expresses, conveys, or contains the spoken or written content associated with another entity’s act of speaking or communication.
-
D.
speaksWith
Indicates that one entity engages in spoken communication or conversation with another entity.
-
E.
alsoSpeak
Indicates that an entity, in addition to another language or mode of communication already mentioned, speaks this additional language or communicates in this additional way.
- 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.