Triple
T15796867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ritva |
E383004
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Rashba |
E383003
|
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: Rashba | Statement: [Ritva, influencedBy, Rashba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rashba Context triple: [Ritva, influencedBy, Rashba]
-
A.
Rashba
chosen
Rashba, also known as Rabbi Shlomo ben Aderet, was a leading 13th-century Spanish Talmudic scholar and halakhic authority whose responsa and commentaries became central to Jewish law and tradition.
-
B.
Rashbaum
Rashbaum is the birth surname of American musician and Bon Jovi keyboardist David Bryan.
-
C.
Raskens
Raskens is a novel by Swedish author Vilhelm Moberg that portrays the harsh life and inner struggles of a 19th-century Swedish soldier and farmer.
-
D.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
E.
Rotherbaum
Rotherbaum is a central, upscale district of Hamburg, Germany, known for its elegant residential areas, cultural institutions, and proximity to the Alster lakes.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4dd4fd88190a77b224b4dee6541 |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90aea81c8190ad8bc0cdedf4b77a |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.