Triple
T36711145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiferet Yisrael |
E906796
|
entity |
| Predicate | YachinFocus |
P31
|
FINISHED |
| Object | continuous commentary on the Mishnah text |
—
|
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: continuous commentary on the Mishnah text | Statement: [Tiferet Yisrael, YachinFocus, continuous commentary on the Mishnah text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: YachinFocus Context triple: [Tiferet Yisrael, YachinFocus, continuous commentary on the Mishnah text]
-
A.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
B.
focusesBy
Indicates that one entity directs its attention, effort, or emphasis toward another entity or specific aspect of it.
-
C.
focusMode
Indicates that an entity is currently in a concentrated or distraction-minimized state directed toward a specific task, target, or context.
-
D.
focusOf
Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
-
E.
chorusFocus
Indicates that the primary attention or emphasis is placed on a chorus or group performance rather than on individual elements.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c812e2f481909d90451f25013476 |
completed | May 3, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.