Triple
T3160084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herodias |
E66080
|
entity |
| Predicate | marriageToHerodAntipasStatus |
P8399
|
FINISHED |
| Object | controversial under Jewish law |
—
|
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: controversial under Jewish law | Statement: [Herodias, marriageToHerodAntipasStatus, controversial under Jewish law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToHerodAntipasStatus Context triple: [Herodias, marriageToHerodAntipasStatus, controversial under Jewish law]
-
A.
hasMarriage
Indicates a marital relationship exists between the two entities, specifying that they are or were legally married to each other.
-
B.
marriageType
chosen
Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
-
C.
marriedInto
Indicates that one entity became connected to another’s family or group through marriage, rather than by birth or prior membership.
-
D.
marriageToProphetOccurredIn
Indicates that the marriage to the prophet took place in a specified location or context.
-
E.
marries
Indicates that one entity enters into a legally or socially recognized marital union with another 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada61606bc8190a8ad760d680924eb |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.