Triple
T19970521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | וַשְׁתִּי |
E480058
|
entity |
| Predicate | roleInPurimStory |
P42552
|
FINISHED |
| Object | queen deposed before Esther becomes queen |
—
|
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: queen deposed before Esther becomes queen | Statement: [וַשְׁתִּי, roleInPurimStory, queen deposed before Esther becomes queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInPurimStory Context triple: [וַשְׁתִּי, roleInPurimStory, queen deposed before Esther becomes queen]
-
A.
roleInStories
chosen
Indicates the specific function, position, or character part an entity plays within one or more stories.
-
B.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
C.
roleInTheVoices
Indicates that an entity has a specific role or participation in the production or performance of "The Voices."
-
D.
roleInRhyme
Indicates the specific function or part an entity plays within a rhyme, such as a character, object, or structural element of the rhyming text.
-
E.
playRoleIn
Indicates that an entity participates in or performs a specific function, character, or part within an event, context, or system.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc89b508190879d29bef546aac8 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.