Triple
T3704607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rishonim |
E80860
|
entity |
| Predicate | majorWorkType |
P1366
|
FINISHED |
| Object | Talmud commentaries |
—
|
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: Talmud commentaries | Statement: [Rishonim, majorWorkType, Talmud commentaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorWorkType Context triple: [Rishonim, majorWorkType, Talmud commentaries]
-
A.
majorProject
Indicates that an entity is a primary, large-scale, or most significant project associated with another entity.
-
B.
majorForm
Indicates that one entity is the primary or principal form, version, or manifestation of another entity.
-
C.
typeOfWork
chosen
Indicates the kind or category of work associated with or performed by an entity.
-
D.
workTypeContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
-
E.
majorActivity
Indicates that the related entity performs, participates in, or is primarily associated with a main or most significant activity.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54bbfcc8190bec9c16e3749c3b1 |
completed | March 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.