Triple

T11350321
Position Surface form Disambiguated ID Type / Status
Subject Posek E268823 entity
Predicate mayHoldTitle P9417 FINISHED
Object Gaon
A Gaon is a leading rabbinic authority and eminent Talmudic scholar recognized for exceptional halachic expertise and spiritual leadership.
 E920281 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: Gaon | Statement: [Posek, mayHoldTitle, Gaon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaon
Context triple: [Posek, mayHoldTitle, Gaon]
  • A. Goch
    Goch is a small historic town in western Germany’s Lower Rhine region, near the Dutch border.
  • B. Ghindae
    Ghindae is a town in Eritrea located within the Northern Red Sea administrative region.
  • C. Goyang
    Goyang is a major satellite city northwest of Seoul in South Korea, known for its rapid urban development, residential districts, and cultural attractions such as Ilsan Lake Park and KINTEX.
  • D. Seoni
    Seoni is a town and district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to Pench National Park and its association with Rudyard Kipling’s "The Jungle Book."
  • E. Gaomi
    Gaomi is a county-level city in eastern China's Shandong province, known as the hometown of Nobel Prize–winning author Mo Yan and for its agricultural and light industrial economy.
  • 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: Gaon
Triple: [Posek, mayHoldTitle, Gaon]
Generated description
A Gaon is a leading rabbinic authority and eminent Talmudic scholar recognized for exceptional halachic expertise and spiritual leadership.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gaon
Target entity description: A Gaon is a leading rabbinic authority and eminent Talmudic scholar recognized for exceptional halachic expertise and spiritual leadership.
  • A. Goch
    Goch is a small historic town in western Germany’s Lower Rhine region, near the Dutch border.
  • B. Ghindae
    Ghindae is a town in Eritrea located within the Northern Red Sea administrative region.
  • C. Goyang
    Goyang is a major satellite city northwest of Seoul in South Korea, known for its rapid urban development, residential districts, and cultural attractions such as Ilsan Lake Park and KINTEX.
  • D. Seoni
    Seoni is a town and district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to Pench National Park and its association with Rudyard Kipling’s "The Jungle Book."
  • E. Gaomi
    Gaomi is a county-level city in eastern China's Shandong province, known as the hometown of Nobel Prize–winning author Mo Yan and for its agricultural and light industrial economy.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea23391c819089e8f9725cb3a0ff completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5439a7ee481908d244f79041b3af6 completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e5474b77948190b2c45831871383e8 completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54eeba4a88190af128a99c277853a completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:33 p.m.