Triple

T6100864
Position Surface form Disambiguated ID Type / Status
Subject 11th Academy Awards E135990 entity
Predicate bestSupportingActressWinningFilm P8120 FINISHED
Object Jezebel E144655 NE FINISHED

How this triple was built (3 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: [11th Academy Awards, bestSupportingActressWinningFilm, Jezebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jezebel
Context triple: [11th Academy Awards, bestSupportingActressWinningFilm, 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 song by English indie rock band Florence and the Machine, featured on their 2015 album *How Big, How Blue, How Beautiful*.
  • E. Delilah
    Delilah is a 1949 American film noir drama scored by composer Victor Young.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bestSupportingActressWinningFilm
Context triple: [11th Academy Awards, bestSupportingActressWinningFilm, Jezebel]
  • A. bestSupportingActressFilm chosen
    Indicates the film for which a person received or was nominated for a Best Supporting Actress award.
  • B. bestSupportingActressWinner
    Indicates that the subject is the person who won the Best Supporting Actress award for the specified work, year, or event.
  • C. bestSupportingActorFilm
    Indicates the film for which a person received the Best Supporting Actor award.
  • D. bestSupportingActorWinner
    Indicates that an entity has received the award for Best Supporting Actor for a particular work or event.
  • E. supportingActressNominee
    Indicates that a person has been nominated for an award in the category of supporting actress.
  • F. None of above.

Provenance (4 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3aa9908190865be98ada141d37 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1358d0e18819084e2acb9e75271b4 completed March 23, 2026, 12:43 p.m.
PD Predicate disambiguation batch_69c049f5ac988190b62ba565153aaa35 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:13 p.m.