Triple
T30889480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al s'fod (Do Not Lament) |
E786857
|
entity |
| Predicate | workTitleInHebrewTransliteration |
P159002
|
FINISHED |
| Object | Al s'fod |
—
|
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: Al s'fod | Statement: [Al s'fod (Do Not Lament), workTitleInHebrewTransliteration, Al s'fod]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTitleInHebrewTransliteration Context triple: [Al s'fod (Do Not Lament), workTitleInHebrewTransliteration, Al s'fod]
-
A.
workTitleInLatinScript
chosen
Indicates that the title of a work is expressed using a Latin-based writing system.
-
B.
titleInHebrew
Indicates that an entity has a specific title expressed in the Hebrew language.
-
C.
workTitleInPortuguese
Indicates that the relationship specifies the title of a work as expressed in the Portuguese language.
-
D.
workTitleInChinese
Indicates that a work has a specific title expressed in the Chinese language.
-
E.
workTitle
Indicates the formal title or name of a work (such as a book, artwork, or composition) associated with an entity.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 8:49 p.m.