Triple

T1575752
Position Surface form Disambiguated ID Type / Status
Subject Joseph Karo E33645 entity
Predicate honorificPrefix P536 FINISHED
Object Maran E137758 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: Maran | Statement: [Joseph Karo, honorificPrefix, Maran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maran
Context triple: [Joseph Karo, honorificPrefix, Maran]
  • A. Maran chosen
    Maran is an honorific title most famously associated with Rabbi Yosef Karo, the preeminent 16th-century halachic authority and author of the Shulchan Aruch.
  • B. Meir
    Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
  • C. Rosh
    Rosh (Rabbeinu Asher ben Jehiel) was a prominent 13th–14th century Talmudic authority and halachic codifier whose rulings significantly shaped later Jewish law, including the Shulchan Aruch.
  • D. Yonas
    Yonas is a given name, often used as a variant of Jonas in various cultures.
  • E. Shosha
    Shosha is a novel by Nobel Prize–winning author Isaac Bashevis Singer that portrays a doomed love story set against the backdrop of pre–World War II Jewish Warsaw.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908d2cffc819090f3d5cbebae3307 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4696c34c8190826bc6ab4dad7c01 completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.