Triple

T2566544
Position Surface form Disambiguated ID Type / Status
Subject William Wyler E57363 entity
Predicate directed P7373 FINISHED
Object Jezebel E144655 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: Jezebel | Statement: [William Wyler, directed, Jezebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jezebel
Context triple: [William Wyler, directed, 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. Delilah
    Delilah is a biblical figure best known for betraying Samson by discovering and revealing the secret of his strength.
  • E. Maria Magdalena Keverich
    Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3602ed08190aad0f9c7ac577eb0 completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6565e05081909dc12aa3240de5f2 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:48 p.m.