Triple
T25493299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yusuf ibn Ya‘qub |
E638890
|
entity |
| Predicate | nameInBible |
P7172
|
FINISHED |
| Object | Joseph |
—
|
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: Joseph | Statement: [Yusuf ibn Ya‘qub, nameInBible, Joseph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameInBible Context triple: [Yusuf ibn Ya‘qub, nameInBible, Joseph]
-
A.
biblicalName
chosen
Indicates that one entity is the name of a person, place, or concept as it appears in the Bible.
-
B.
nameInJudaism
Indicates that a particular name is used or recognized within the context of Judaism, such as in Jewish religious, cultural, or traditional practice.
-
C.
nameInAramaic
Indicates that an entity has a specific name expressed in the Aramaic language.
-
D.
nameInCanonicalGospels
Indicates that a person or entity is explicitly named in at least one of the four canonical Christian gospels (Matthew, Mark, Luke, or John).
-
E.
saintName
Indicates that an entity has the specified name under which they are recognized or venerated as a saint.
- 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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f7a80f9c8190a672355c354e25bf |
completed | May 2, 2026, 1:10 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:39 p.m.