Triple

T21464952
Position Surface form Disambiguated ID Type / Status
Subject Clements Ripley E529569 entity
Predicate notableWork P4 FINISHED
Object Jezebel NE NERFINISHED

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: Jezebel | Statement: [Clements Ripley, notableWork, Jezebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jezebel
Context triple: [Clements Ripley, notableWork, Jezebel]
  • A. Jezebel
    Jezebel is a feminist-leaning online magazine and blog known for its sharp commentary on gender, culture, and media.
  • B. 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.
  • C. Jezebel chosen
    Jezebel is a 1938 American drama film starring Bette Davis as a headstrong Southern belle whose defiance leads to personal and social ruin.
  • D. Jezebel
    "Jezebel" is a 2022 rock song by Finnish band The Rasmus, best known as Finland’s entry for the Eurovision Song Contest.
  • E. Jezebel
    "Jezebel" is a song featured on the album "Double Up," known for its themes of seduction and betrayal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f1b3cc819092c200f09c6f461e completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.