Triple
T16858260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obadiah Sforno |
E409844
|
entity |
| Predicate | honorificPrefix |
P536
|
FINISHED |
| Object |
R.
R. is an honorific prefix commonly used in Jewish tradition as an abbreviation for “Rabbi,” denoting a respected religious scholar or teacher.
|
E1236772
|
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: R. | Statement: [Obadiah Sforno, honorificPrefix, R.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R. Context triple: [Obadiah Sforno, honorificPrefix, R.]
-
A.
R.
R. is a 1998 double-disc R&B album by American singer R. Kelly, known for its blend of soulful ballads, hip hop influences, and several major hit singles.
-
B.
R
R is a New York City Subway service that runs along the Broadway Line in Manhattan and Queens, providing local transit through key commercial and residential areas.
-
C.
R
R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
-
D.
R
R is a post-nominal letter used to denote a specific rank or class within the Danish Order of the Dannebrog.
-
E.
R
R is a letter of the modern Latin alphabet commonly used in numerous languages and writing systems worldwide.
- 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: R. Triple: [Obadiah Sforno, honorificPrefix, R.]
Generated description
R. is an honorific prefix commonly used in Jewish tradition as an abbreviation for “Rabbi,” denoting a respected religious scholar or teacher.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R. Target entity description: R. is an honorific prefix commonly used in Jewish tradition as an abbreviation for “Rabbi,” denoting a respected religious scholar or teacher.
-
A.
R.
R. is a 1998 double-disc R&B album by American singer R. Kelly, known for its blend of soulful ballads, hip hop influences, and several major hit singles.
-
B.
R
R is a New York City Subway service that runs along the Broadway Line in Manhattan and Queens, providing local transit through key commercial and residential areas.
-
C.
R
R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
-
D.
R
R is a post-nominal letter used to denote a specific rank or class within the Danish Order of the Dannebrog.
-
E.
R
R is a letter of the modern Latin alphabet commonly used in numerous languages and writing systems worldwide.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37ef4748190b149d98fc0ab4205 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb25300c8190a352037c21c244bd |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbc80d54819092de4ee363508b49 |
completed | May 10, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc633abc8190a86808986ba294ec |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 10, 2026, 5:24 a.m.