Triple
T20613745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna |
E506511
|
entity |
| Predicate | mentionedIn |
P831
|
FINISHED |
| Object | Tobit 1 |
—
|
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: Tobit 1 | Statement: [Anna, mentionedIn, Tobit 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tobit 1 Context triple: [Anna, mentionedIn, Tobit 1]
-
A.
Tobit
Tobit is a deuterocanonical Jewish wisdom and adventure narrative, preserved in the Septuagint, that tells the story of a righteous Israelite and his son Tobias guided by the angel Raphael.
-
B.
Book of Tobit
chosen
The Book of Tobit is a deuterocanonical Jewish work of religious fiction found in some Christian Old Testament canons, telling a moral and devotional story about piety, charity, and divine providence.
-
C.
1 Enoch
1 Enoch is an ancient Jewish apocalyptic work, attributed to the biblical figure Enoch, that profoundly influenced early Jewish and Christian thought.
-
D.
Tobit Raphael
Tobit Raphael is an actor best known for his role as Yo-Yo Santos in the comedy film "The Internship."
-
E.
Zebudah
Zebudah is a feminine given name of biblical origin, appearing as a variant form of the name Zebidah.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aada19e481909363428ceda67603 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.