Triple

T37547723
Position Surface form Disambiguated ID Type / Status
Subject Tur Even HaEzer E933505 entity
Predicate commentedOnBy P11804 FINISHED
Object Bach (Bayit Chadash)
Bach (Bayit Chadash) is a major halachic commentary by Rabbi Joel Sirkis on the Arba'ah Turim, particularly influential in shaping later Jewish legal rulings.
E2232821 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: Bach (Bayit Chadash) | Statement: [Tur Even HaEzer, commentedOnBy, Bach (Bayit Chadash)]
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: Bach (Bayit Chadash)
Triple: [Tur Even HaEzer, commentedOnBy, Bach (Bayit Chadash)]
Generated description
Bach (Bayit Chadash) is a major halachic commentary by Rabbi Joel Sirkis on the Arba'ah Turim, particularly influential in shaping later Jewish legal rulings.

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_69f76eca55bc8190acf25741793d5dac completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba42611cc8190b5bc5f7d5b52ecc2 completed May 6, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a409f0bf9c48190804daee8af64fcf5 completed June 28, 2026, 4:11 a.m.
NEDg Description generation batch_6a40a0bb718081909f6f7d021b52070c completed June 28, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_6a40a180222c8190aa3f63942e798f2f completed June 28, 2026, 4:22 a.m.
Created at: May 3, 2026, 4:17 p.m.