Triple

T9570807
Position Surface form Disambiguated ID Type / Status
Subject Rebecca "Becky" Schlapp E230910 entity
Predicate givenName P17 FINISHED
Object Rebecca E3910 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: [Rebecca "Becky" Schlapp, givenName, Rebecca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebecca
Context triple: [Rebecca "Becky" Schlapp, givenName, 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
    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 chosen
    Rebecca is a feminine given name of Hebrew origin meaning “to tie” or “to bind,” widely used in English-speaking countries.
  • D. Rebecca
    Rebecca is a character from the horror film "The Descent," one of the women who join a dangerous caving expedition that turns terrifying underground.
  • E. Rebecca (1940 film)
    Rebecca (1940 film) is a 1940 gothic romantic thriller directed by Alfred Hitchcock, adapted from Daphne du Maurier’s novel, and renowned for its haunting atmosphere and Laurence Olivier’s performance.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998ab5948190be78db4eed7825a0 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152ba8f8081908b11c3c098e7e5f0 completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.