Triple
T5090279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torah commentary of Ramban |
E114734
|
entity |
| Predicate | commentaryOn |
P21592
|
FINISHED |
| Object | Numbers |
E19391
|
NE 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: Numbers | Statement: [Torah commentary of Ramban, commentaryOn, Numbers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Numbers Context triple: [Torah commentary of Ramban, commentaryOn, Numbers]
-
A.
Numbers
chosen
Numbers is the fourth book of the Hebrew Bible and the Christian Old Testament, recounting the Israelites’ wilderness wanderings and organizing laws and censuses.
-
B.
Numbers
Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
-
C.
Numbers series
Numbers series is a set of iconic numeral-themed artworks by American pop artist Robert Indiana, reflecting his bold graphic style and interest in language and symbolism.
-
D.
Numbers in Color
Numbers in Color is a 1958–59 encaustic painting by Jasper Johns that layers a grid of numerals in vivid, textured color, exemplifying his exploration of everyday symbols in American art.
-
E.
Numberwang
Numberwang is a surreal, fast-paced parody of television quiz shows from the British comedy duo Mitchell and Webb, known for its nonsensical rules and absurd humor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75407e6881908d00377a256ff37e |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb1489ffc8190af95b90debb88d63 |
completed | March 21, 2026, 2:55 p.m. |
Created at: March 20, 2026, 1:40 p.m.