Triple
T19014267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raising of Lazarus |
E465304
|
entity |
| Predicate | signNumberInJohnTradition |
P73767
|
FINISHED |
| Object | seventh sign |
—
|
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: seventh sign | Statement: [Raising of Lazarus, signNumberInJohnTradition, seventh sign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signNumberInJohnTradition Context triple: [Raising of Lazarus, signNumberInJohnTradition, seventh sign]
-
A.
signCount
chosen
Indicates the number of signs associated with, produced by, or present in relation to a given entity or context.
-
B.
signType
Indicates the specific category or kind of sign involved in the relationship or action.
-
C.
signGivenBy
Indicates that a sign (such as a signal, gesture, or indication) is produced or provided by one entity to another.
-
D.
signText
Indicates that a sign bears or displays a particular textual content.
-
E.
signOfCovenant
Indicates that something serves as a visible or symbolic marker confirming the existence and terms of a covenant between parties.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6aac4dc8190ac51f22c13f1b96c |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.