Triple

T1575742
Position Surface form Disambiguated ID Type / Status
Subject Joseph Karo E33645 entity
Predicate spouse P13 FINISHED
Object Hanna
Hanna was the wife of the influential 16th-century Jewish legal scholar and codifier Rabbi Joseph Karo.
 E179769 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: Hanna | Statement: [Joseph Karo, spouse, Hanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hanna
Context triple: [Joseph Karo, spouse, Hanna]
  • A. Annette
    Annette is a feminine given name of French origin, commonly used in various European and English-speaking countries.
  • B. The Hunt
    The Hunt is a BBC nature documentary series that explores the dramatic strategies predators and prey use to survive in the wild.
  • C. Margo
    Margo is the responsible and intelligent eldest of Gru’s three adopted daughters in the Despicable Me franchise.
  • D. Wick
    Wick is a small coastal town in the far north of Scotland, historically known as a fishing port and regional administrative center.
  • E. Thunderbitch
    Thunderbitch is a rock side project and band fronted by Alabama Shakes singer and guitarist Brittany Howard, known for its raw, garage-rock sound and theatrical persona.
  • 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: Hanna
Triple: [Joseph Karo, spouse, Hanna]
Generated description
Hanna was the wife of the influential 16th-century Jewish legal scholar and codifier Rabbi Joseph Karo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hanna
Target entity description: Hanna was the wife of the influential 16th-century Jewish legal scholar and codifier Rabbi Joseph Karo.
  • A. Annette
    Annette is a feminine given name of French origin, commonly used in various European and English-speaking countries.
  • B. The Hunt
    The Hunt is a BBC nature documentary series that explores the dramatic strategies predators and prey use to survive in the wild.
  • C. Margo
    Margo is the responsible and intelligent eldest of Gru’s three adopted daughters in the Despicable Me franchise.
  • D. Wick
    Wick is a small coastal town in the far north of Scotland, historically known as a fishing port and regional administrative center.
  • E. Thunderbitch
    Thunderbitch is a rock side project and band fronted by Alabama Shakes singer and guitarist Brittany Howard, known for its raw, garage-rock sound and theatrical persona.
  • 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_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_69ad402b44688190b02e6d146f009854 completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad410ba7f881909dcee6e6fd56490f completed March 8, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69ad41ff0b0c8190b5429ed6952a0ce6 completed March 8, 2026, 9:31 a.m.
Created at: March 4, 2026, 7:27 p.m.