Triple

T23392735
Position Surface form Disambiguated ID Type / Status
Subject Mordechai Dovid Unger (Bobov-45) E594061 entity
Predicate alsoKnownAs P39 FINISHED
Object Bobov-45 Rebbe
The Bobov-45 Rebbe is the spiritual leader of the Bobov-45 Hasidic dynasty, a prominent faction within the broader Bobov Hasidic community based primarily in Brooklyn, New York.
E1631783 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: Bobov-45 Rebbe | Statement: [Mordechai Dovid Unger (Bobov-45), alsoKnownAs, Bobov-45 Rebbe]
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: Bobov-45 Rebbe
Triple: [Mordechai Dovid Unger (Bobov-45), alsoKnownAs, Bobov-45 Rebbe]
Generated description
The Bobov-45 Rebbe is the spiritual leader of the Bobov-45 Hasidic dynasty, a prominent faction within the broader Bobov Hasidic community based primarily in Brooklyn, New York.

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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49df4308190ab4ab31310af81ed completed April 29, 2026, 6:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd625fd1481908fabfa8fb166c92f completed May 22, 2026, 4:05 a.m.
NEDg Description generation batch_6a0fd785e66c8190971031df082764bf completed May 22, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd83e09ac81909c039cdcf5e2d022 completed May 22, 2026, 4:14 a.m.
Created at: April 17, 2026, 5:36 p.m.