Triple
T19723137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shabbetai Tzvi |
E473658
|
entity |
| Predicate | forcedChoice |
P50558
|
FINISHED |
| Object | conversion to Islam or death |
—
|
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: conversion to Islam or death | Statement: [Shabbetai Tzvi, forcedChoice, conversion to Islam or death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forcedChoice Context triple: [Shabbetai Tzvi, forcedChoice, conversion to Islam or death]
-
A.
requiresChoiceBetween
chosen
Indicates that one must select between two or more specified options, and that making such a choice is necessary in the given context.
-
B.
madeChoiceBetween
Indicates that an entity selected one option from among two or more specified alternatives.
-
C.
castingChoiceFor
Indicates a relationship where a particular casting decision or option is selected or designated for a specific role, production, or performance.
-
D.
decisionProblem
Indicates that the subject is a computational problem for which the task is to decide, with a yes/no answer, whether given inputs satisfy a specified condition.
-
E.
decisionMakingTool
Indicates that an entity functions as a tool or system used to support, structure, or carry out decision-making processes for 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f64984819097882c44098b1643 |
completed | April 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:46 p.m.