Triple

T19697876
Position Surface form Disambiguated ID Type / Status
Subject Susanna Shakespeare E473010 entity
Predicate givenName P17 FINISHED
Object Susanna 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: Susanna | Statement: [Susanna Shakespeare, givenName, Susanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susanna
Context triple: [Susanna Shakespeare, givenName, Susanna]
  • A. Susanna
    Susanna is a deuterocanonical addition to the Book of Daniel, telling the story of a virtuous woman falsely accused of adultery and vindicated by the prophet Daniel.
  • B. Susanna chosen
    Susanna is a feminine given name of Hebrew origin, commonly used in various European languages and cultures.
  • C. Susanna
    Susanna is a thoughtful, observant teenage girl who befriends the shy protagonist during his summer vacation in the coming-of-age film "The Way Way Back."
  • D. Susannah
    Susannah is one of the central, romantically entangled characters in Alan Ayckbourn’s comedic stage play "Bedroom Farce."
  • E. Suzanne
    "Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b2baec81909ee2cd6ead632836 completed April 20, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:46 p.m.