Triple
T16680890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baalei Tosafot |
E405333
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Ri ha-Zaken
Ri ha-Zaken was a prominent 12th–13th century French Tosafist rabbi and Talmudic scholar known for his influential glosses and analyses on the Talmud.
|
E1227619
|
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: Ri ha-Zaken | Statement: [Baalei Tosafot, notableMember, Ri ha-Zaken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ri ha-Zaken Context triple: [Baalei Tosafot, notableMember, Ri ha-Zaken]
-
A.
Zebudah
Zebudah is a feminine given name of biblical origin, appearing as a variant form of the name Zebidah.
-
B.
Tohorot
Tohorot is a tractate of the Mishnah that deals with the complex laws of ritual purity and impurity.
-
C.
Shefelat Yehuda
Shefelat Yehuda is the Hebrew name for the Shephelah, the lowland region of rolling hills between Israel’s central highlands and the coastal plain.
-
D.
Even Ha’ezer
Even Ha’ezer is the section of the Shulchan Aruch that codifies Jewish law relating to marriage, divorce, and family matters.
-
E.
Yad ha-Chazakah
Yad ha-Chazakah is a monumental 12th-century legal code by Maimonides that systematically organizes and clarifies all areas of Jewish law.
- 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: Ri ha-Zaken Triple: [Baalei Tosafot, notableMember, Ri ha-Zaken]
Generated description
Ri ha-Zaken was a prominent 12th–13th century French Tosafist rabbi and Talmudic scholar known for his influential glosses and analyses on the Talmud.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ri ha-Zaken Target entity description: Ri ha-Zaken was a prominent 12th–13th century French Tosafist rabbi and Talmudic scholar known for his influential glosses and analyses on the Talmud.
-
A.
Zebudah
Zebudah is a feminine given name of biblical origin, appearing as a variant form of the name Zebidah.
-
B.
Tohorot
Tohorot is a tractate of the Mishnah that deals with the complex laws of ritual purity and impurity.
-
C.
Shefelat Yehuda
Shefelat Yehuda is the Hebrew name for the Shephelah, the lowland region of rolling hills between Israel’s central highlands and the coastal plain.
-
D.
Even Ha’ezer
Even Ha’ezer is the section of the Shulchan Aruch that codifies Jewish law relating to marriage, divorce, and family matters.
-
E.
Yad ha-Chazakah
Yad ha-Chazakah is a monumental 12th-century legal code by Maimonides that systematically organizes and clarifies all areas of Jewish law.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6f5cf481909e7628bbaa884e5a |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a404f448190a9dc7831382ffcdc |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008aed0bfc8190886b6a2e08a885b9 |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008bc0e57c8190838ec383f2a1b52c |
completed | May 10, 2026, 1:44 p.m. |
Created at: April 10, 2026, 5:19 a.m.