Triple

T3743061
Position Surface form Disambiguated ID Type / Status
Subject Rabbi E79745 entity
Predicate mayServeAs P98 FINISHED
Object dayan
A dayan is a Jewish religious judge who serves on a rabbinical court to decide matters of Jewish law.
 E385210 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: dayan | Statement: [Rabbi, mayServeAs, dayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: dayan
Context triple: [Rabbi, mayServeAs, dayan]
  • A. Dag
    Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
  • B. Day
    "Day" is a memoir by Elie Wiesel that continues his reflection on Holocaust survival and its psychological aftermath, following the events depicted in "Night."
  • C. Day
    Day is a common English surname borne by numerous notable individuals across politics, law, arts, and sports.
  • D. Dayan
    Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
  • E. Diada
    Diada is the common short name for La Diada, the Catalan National Day celebrated annually on September 11 in Catalonia, Spain.
  • 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: dayan
Triple: [Rabbi, mayServeAs, dayan]
Generated description
A dayan is a Jewish religious judge who serves on a rabbinical court to decide matters of Jewish law.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: dayan
Target entity description: A dayan is a Jewish religious judge who serves on a rabbinical court to decide matters of Jewish law.
  • A. Dag
    Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
  • B. Day
    "Day" is a memoir by Elie Wiesel that continues his reflection on Holocaust survival and its psychological aftermath, following the events depicted in "Night."
  • C. Day
    Day is a common English surname borne by numerous notable individuals across politics, law, arts, and sports.
  • D. Dayan
    Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
  • E. Diada
    Diada is the common short name for La Diada, the Catalan National Day celebrated annually on September 11 in Catalonia, Spain.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb576b5881908515d64c71f11a16 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db29b2288190932923a6bf1a7e8e completed March 14, 2026, 3:51 a.m.
NEDg Description generation batch_69b4df07a5b88190ab88e1f644c1bf53 completed March 14, 2026, 4:07 a.m.
NED2 Entity disambiguation (via description) batch_69b4dfa6d7c4819083cad94e23fe7c8b completed March 14, 2026, 4:10 a.m.
Created at: March 8, 2026, 3:34 p.m.