Triple

T4905196
Position Surface form Disambiguated ID Type / Status
Subject Jezebel E109896 entity
Predicate title P38 FINISHED
Object Queen Jezebel E109896 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: Queen Jezebel | Statement: [Jezebel, title, Queen Jezebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen Jezebel
Context triple: [Jezebel, title, Queen Jezebel]
  • A. Jezebel chosen
    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.
  • B. Jezebel
    Jezebel is a feminist-leaning online magazine and blog known for its sharp commentary on gender, culture, and media.
  • C. Jezebel
    Jezebel is a 1938 American drama film starring Bette Davis as a headstrong Southern belle whose defiance leads to personal and social ruin.
  • D. Athaliah
    Athaliah was a queen of Judah, known for her violent seizure of power and promotion of Baal worship after the death of her son King Ahaziah.
  • E. Herodias
    Herodias was a Judean princess of the Herodian dynasty, best known from the New Testament for her role in the events leading to the execution of John the Baptist.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e71a5c481909f5862bf497c3c9d completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fdaaf588190a180d0bf5979c2d2 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:29 p.m.