Triple
T17270749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokh alemen |
E419249
|
entity |
| Predicate | hasOriginalTitleScript |
P126570
|
FINISHED |
| Object | Hebrew alphabet |
—
|
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: Hebrew alphabet | Statement: [Nokh alemen, hasOriginalTitleScript, Hebrew alphabet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalTitleScript Context triple: [Nokh alemen, hasOriginalTitleScript, Hebrew alphabet]
-
A.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
B.
originalTitleName
Indicates that one entity is the original or primary title name associated with another entity.
-
C.
originalLanguageTitle
Indicates the title of a work as it appears in its original language of creation or publication.
-
D.
originalTitleStatus
Indicates whether a work’s title is the original one or has been altered, translated, or otherwise modified from its initial form.
-
E.
originalTitleOfWork
Indicates that one work is the original title under which another work was first created, published, or released.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4917ec819096356ad2ed24d51d |
completed | April 19, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:40 a.m.