Triple
T6570511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choshen Mishpat |
E155420
|
entity |
| Predicate | hasCommentaryBy |
P4244
|
FINISHED |
| Object |
Sma
Sma is a classic rabbinic commentator best known for his influential glosses on the Choshen Mishpat section of the Shulchan Aruch, widely studied in Jewish law.
|
E603188
|
NE FINISHED |
How this triple was built (4 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: Sma | Statement: [Choshen Mishpat, hasCommentaryBy, Sma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sma Context triple: [Choshen Mishpat, hasCommentaryBy, Sma]
-
A.
SMO
SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
-
B.
Sikma
Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
-
C.
SMA
SMA is the IATA airport code for the main airport serving Santa Maria Island in the Azores, Portugal.
-
D.
SMA
SMA is a radio interferometer observatory located on Maunakea in Hawaii that operates at submillimeter wavelengths to study astronomical objects such as star-forming regions, galaxies, and black holes.
-
E.
Saramo
Saramo is an alternative name for the Itonama language spoken by the indigenous Itonama people of Bolivia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sma Triple: [Choshen Mishpat, hasCommentaryBy, Sma]
Generated description
Sma is a classic rabbinic commentator best known for his influential glosses on the Choshen Mishpat section of the Shulchan Aruch, widely studied in Jewish law.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sma Target entity description: Sma is a classic rabbinic commentator best known for his influential glosses on the Choshen Mishpat section of the Shulchan Aruch, widely studied in Jewish law.
-
A.
SMO
SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
-
B.
Sikma
Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
-
C.
SMA
SMA is the IATA airport code for the main airport serving Santa Maria Island in the Azores, Portugal.
-
D.
SMA
SMA is a radio interferometer observatory located on Maunakea in Hawaii that operates at submillimeter wavelengths to study astronomical objects such as star-forming regions, galaxies, and black holes.
-
E.
Saramo
Saramo is an alternative name for the Itonama language spoken by the indigenous Itonama people of Bolivia.
- F. None of above. chosen
Provenance (5 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae5791e881909d0b340aa63c6223 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d567ef7481908c700c3abe2863ae |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d677a74881908e174a6f6c7a5497 |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d843bad081909ebb887f32ea4195 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:53 p.m.