Triple

T17338829
Position Surface form Disambiguated ID Type / Status
Subject Landscape with the Marriage of Isaac and Rebecca E421010 entity
Predicate depictsCharacter P1581 FINISHED
Object Rebecca E785024 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: Rebecca | Statement: [Landscape with the Marriage of Isaac and Rebecca, depictsCharacter, Rebecca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebecca
Context triple: [Landscape with the Marriage of Isaac and Rebecca, depictsCharacter, Rebecca]
  • A. Rebecca
    Rebecca is a courageous and compassionate Jewish healer in Sir Walter Scott's novel "Ivanhoe," renowned for her integrity and tragic, unrequited love.
  • B. 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.
  • C. Rebecca
    Rebecca is a fictional character appearing in the British television drama series "Ashes to Ashes."
  • D. 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.
  • E. Rebecca
    Rebecca is a classic 1938 Gothic novel by Daphne du Maurier, renowned for its haunting atmosphere, psychological suspense, and iconic opening line, "Last night I dreamt I went to Manderley again."
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a13dd44819091d296c764976dfe completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c56c8148190ab6e3e2eff09725e completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:44 a.m.