Triple

T917521
Position Surface form Disambiguated ID Type / Status
Subject Books of Kings E19802 entity
Predicate includesFigure P1393 FINISHED
Object Jezebel
Jezebel is a notorious Phoenician queen in the Hebrew Bible, remembered for promoting Baal worship in Israel and for her violent conflict with the prophet Elijah.
 E109896 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: Jezebel | Statement: [Books of Kings, includesFigure, Jezebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jezebel
Context triple: [Books of Kings, includesFigure, Jezebel]
  • A. Jezebel
    Jezebel is a feminist-leaning online magazine and blog known for its sharp commentary on gender, culture, and media.
  • B. Delilah
    Delilah is a biblical figure best known for betraying Samson by discovering and revealing the secret of his strength.
  • C. Maria Magdalena Keverich
    Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
  • D. Ofelia
    Ofelia is the imaginative young girl in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth," whose encounters with mythical creatures mirror the brutal realities of post–Civil War Spain.
  • E. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • 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: Jezebel
Triple: [Books of Kings, includesFigure, Jezebel]
Generated description
Jezebel is a notorious Phoenician queen in the Hebrew Bible, remembered for promoting Baal worship in Israel and for her violent conflict with the prophet Elijah.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jezebel
Target entity description: Jezebel is a notorious Phoenician queen in the Hebrew Bible, remembered for promoting Baal worship in Israel and for her violent conflict with the prophet Elijah.
  • A. Jezebel
    Jezebel is a feminist-leaning online magazine and blog known for its sharp commentary on gender, culture, and media.
  • B. Delilah
    Delilah is a biblical figure best known for betraying Samson by discovering and revealing the secret of his strength.
  • C. Maria Magdalena Keverich
    Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
  • D. Ofelia
    Ofelia is the imaginative young girl in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth," whose encounters with mythical creatures mirror the brutal realities of post–Civil War Spain.
  • E. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b74b789c8190b174f9b17dc46f9e completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee074e9481908430b61d0ac73f4f completed March 4, 2026, 8:32 a.m.
NEDg Description generation batch_69a7f53006c48190b1a93de919c7bdaf completed March 4, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_69a7f5866dfc8190a9d0931887b756f5 completed March 4, 2026, 9:04 a.m.
Created at: March 1, 2026, 7:40 p.m.