Triple
T15886426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | get (Jewish bill of divorce) |
E385202
|
entity |
| Predicate | mustBeWrittenFor |
P120931
|
FINISHED |
| Object | specific husband |
—
|
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: specific husband | Statement: [get (Jewish bill of divorce), mustBeWrittenFor, specific husband]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustBeWrittenFor Context triple: [get (Jewish bill of divorce), mustBeWrittenFor, specific husband]
-
A.
isWritten
Indicates that a text, document, or content has been created or recorded in written form by an agent.
-
B.
hasWrittenFor
Indicates that one entity has created written content (such as articles, stories, or texts) for or on behalf of another entity, typically a publication, organization, or platform.
-
C.
likelyWrittenFrom
Indicates that something (such as a text, statement, or perspective) is probably authored or expressed from the viewpoint, context, or position of a particular entity.
-
D.
willWrittenIn
Indicates that a legal will was authored, drafted, or formally written in a specified location or jurisdiction.
-
E.
writtenTo
Indicates that something has been addressed or directed in written form to a particular recipient.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:51 a.m.