Triple
T20613615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah (Book of Tobit) |
E506508
|
entity |
| Predicate | weddingNightRitual |
P26551
|
FINISHED |
| Object | Tobias burns fish liver and heart to drive away Asmodeus |
—
|
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: Tobias burns fish liver and heart to drive away Asmodeus | Statement: [Sarah (Book of Tobit), weddingNightRitual, Tobias burns fish liver and heart to drive away Asmodeus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weddingNightRitual Context triple: [Sarah (Book of Tobit), weddingNightRitual, Tobias burns fish liver and heart to drive away Asmodeus]
-
A.
ritualEvent
Indicates that an event is a ritual or ceremonial occurrence, typically involving prescribed actions, symbols, or practices performed according to tradition or custom.
-
B.
initiatesRitual
Indicates that one entity begins or sets in motion a ritual involving one or more other entities.
-
C.
functionDuringWedding
Indicates that an entity performs a specific role or function in the context of a wedding event.
-
D.
partOfRitual
chosen
Indicates that an action, object, or event is included as a component or step within a larger ritual.
-
E.
hasWeddingSceneWith
Indicates that two entities appear together in a wedding scene within the same context or work.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aada19e481909363428ceda67603 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:41 a.m.