Triple

T2457082
Position Surface form Disambiguated ID Type / Status
Subject Rosh E54446 entity
Predicate role P268 FINISHED
Object Posek
A posek is a Jewish legal scholar who issues authoritative rulings in matters of halakha (Jewish law).
 E268823 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: Posek | Statement: [Rosh, role, Posek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Posek
Context triple: [Rosh, role, Posek]
  • A. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • B. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • C. Pekar
    Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
  • D. Pawukon
    Pawukon is a complex traditional Balinese calendrical system composed of multiple concurrent week cycles used to determine ritual, ceremonial, and agricultural timings.
  • E. Jakaltek
    Jakaltek is a Mayan language spoken primarily by the Jakaltek (Popti’) people of Guatemala’s western highlands.
  • 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: Posek
Triple: [Rosh, role, Posek]
Generated description
A posek is a Jewish legal scholar who issues authoritative rulings in matters of halakha (Jewish law).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Posek
Target entity description: A posek is a Jewish legal scholar who issues authoritative rulings in matters of halakha (Jewish law).
  • A. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • B. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • C. Pekar
    Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
  • D. Pawukon
    Pawukon is a complex traditional Balinese calendrical system composed of multiple concurrent week cycles used to determine ritual, ceremonial, and agricultural timings.
  • E. Jakaltek
    Jakaltek is a Mayan language spoken primarily by the Jakaltek (Popti’) people of Guatemala’s western highlands.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd106f4608190ae17ddbd24fad97e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0ca655c81908612983ced5f5786 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef50bc7ac8190add8ee63c5621dc1 completed March 9, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69aef6342d5481908abf683f8e3f80ae completed March 9, 2026, 4:32 p.m.
Created at: March 6, 2026, 9:44 p.m.