Triple
T651551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lecha Dodi |
E11354
|
entity |
| Predicate | firstLineTranslation |
P16916
|
FINISHED |
| Object | Come, my beloved, to greet the bride |
—
|
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: Come, my beloved, to greet the bride | Statement: [Lecha Dodi, firstLineTranslation, Come, my beloved, to greet the bride]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLineTranslation Context triple: [Lecha Dodi, firstLineTranslation, Come, my beloved, to greet the bride]
-
A.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
B.
firstTitleFor
Indicates that one entity is the earliest or primary title assigned to another entity, typically among multiple possible titles.
-
C.
originalLanguagePhrase
Indicates that one phrase is the original-language version from which another phrase (typically a translation or adaptation) is derived.
-
D.
translationMethod
Indicates the technique or process used to translate content from one language or form to another.
-
E.
translationInitiation
Indicates the start of protein synthesis, where the ribosome assembles on mRNA and begins decoding it to form a polypeptide chain.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f35acb08190a3a8248023ce07f9 |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d1001088190aa7ca3c8f2ad0e32 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.