Triple

T20834022
Position Surface form Disambiguated ID Type / Status
Subject Cenotaph of Rebecca E512907 entity
Predicate namedAfter P63 FINISHED
Object Rebecca 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: Rebecca | Statement: [Cenotaph of Rebecca, namedAfter, Rebecca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebecca
Context triple: [Cenotaph of Rebecca, namedAfter, Rebecca]
  • A. Rebecca
    Rebecca is one of the main teenage protagonists in the graphic novel and film "Ghost World," known for her sardonic wit and complicated friendship with Enid.
  • B. Rebecca
    Rebecca is a feminine given name of Hebrew origin meaning “to tie” or “to bind,” widely used in English-speaking countries.
  • C. Rebecca
    Rebecca is a courageous and compassionate Jewish healer in Sir Walter Scott's novel "Ivanhoe," renowned for her integrity and tragic, unrequited love.
  • D. Rebecca chosen
    Rebecca is a prominent biblical matriarch, known as the wife of Isaac and the mother of Esau and Jacob in the Hebrew Bible.
  • E. Rebecca
    Rebecca is a fictional character appearing in the British television drama series "Ashes to Ashes."
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32554648190bd66ac99b3a9072b completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.