Triple
T4000723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of the Jews |
E89406
|
entity |
| Predicate | hasAlternativeRendering |
P5887
|
FINISHED |
| Object | King of the Judaeans |
—
|
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: King of the Judaeans | Statement: [King of the Jews, hasAlternativeRendering, King of the Judaeans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeRendering Context triple: [King of the Jews, hasAlternativeRendering, King of the Judaeans]
-
A.
hasAlternativeContext
Indicates that something is associated with an additional or different contextual setting or interpretation beyond its primary one.
-
B.
isAlternativeTo
chosen
Indicates that one entity can serve as a substitute or different option in place of another.
-
C.
hasAlternateMemberType
Indicates that an entity is associated with a different or substitute type of member than its primary or standard member type.
-
D.
canRender
Indicates that one entity has the capability or functionality to generate or display another entity in a visual or presentable form.
-
E.
hasAlternativeVocalization
Indicates that an entity has another valid way it can be vocalized or pronounced, distinct from its primary or standard vocalization.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8579288190940487ad07e38de0 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8f89f2881909b0965419d15d46c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.