Triple
T38677788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reb Saunders |
E943803
|
entity |
| Predicate | communicationStyleWithSon |
P83331
|
FINISHED |
| Object | strict silence except when studying Talmud |
—
|
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: strict silence except when studying Talmud | Statement: [Reb Saunders, communicationStyleWithSon, strict silence except when studying Talmud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communicationStyleWithSon Context triple: [Reb Saunders, communicationStyleWithSon, strict silence except when studying Talmud]
-
A.
communicationTrait
chosen
Indicates a characteristic or quality related to how an entity communicates or engages in communication.
-
B.
communicationStrategy
Indicates the method or approach used to convey information or messages between parties.
-
C.
dialogueWith
Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
-
D.
communicationEffect
Indicates that one entity’s act of communication causes a change or effect in another entity’s state, behavior, or information.
-
E.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:33 p.m.