Triple

T2030044
Position Surface form Disambiguated ID Type / Status
Subject Midrash E44494 entity
Predicate includesWork P2011 FINISHED
Object Tanchuma
Tanchuma is a classical rabbinic midrashic collection, primarily on the Torah, known for its homiletic teachings and ethical interpretations.
 E226937 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: Tanchuma | Statement: [Midrash, includesWork, Tanchuma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tanchuma
Context triple: [Midrash, includesWork, Tanchuma]
  • A. Zimran
    Zimran is a lesser-known biblical figure mentioned in the Hebrew Bible as one of Abraham's sons by his wife Keturah.
  • B. Shmuel
    Shmuel is the Hebrew form of the biblical name Samuel, commonly used in Jewish religious and cultural contexts.
  • C. Shimon
    Shimon is a given name most notably borne by Shimon Peres, the former President and Prime Minister of Israel and Nobel Peace Prize laureate.
  • D. Meir
    Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
  • E. Eleazar
    Eleazar is a masculine given name of Hebrew origin, traditionally associated with religious and historical figures.
  • 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: Tanchuma
Triple: [Midrash, includesWork, Tanchuma]
Generated description
Tanchuma is a classical rabbinic midrashic collection, primarily on the Torah, known for its homiletic teachings and ethical interpretations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tanchuma
Target entity description: Tanchuma is a classical rabbinic midrashic collection, primarily on the Torah, known for its homiletic teachings and ethical interpretations.
  • A. Zimran
    Zimran is a lesser-known biblical figure mentioned in the Hebrew Bible as one of Abraham's sons by his wife Keturah.
  • B. Shmuel
    Shmuel is the Hebrew form of the biblical name Samuel, commonly used in Jewish religious and cultural contexts.
  • C. Shimon
    Shimon is a given name most notably borne by Shimon Peres, the former President and Prime Minister of Israel and Nobel Peace Prize laureate.
  • D. Meir
    Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
  • E. Eleazar
    Eleazar is a masculine given name of Hebrew origin, traditionally associated with religious and historical figures.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb914a40081909a937689bea3dc85 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0b00d0a48190bcd1924df2786e41 completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0b8cda248190b88b353c1768c3d7 completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c31f00c8190bb29098f95ee4cb9 completed March 8, 2026, 11:54 p.m.
Created at: March 4, 2026, 7:38 p.m.