Triple

T13765467
Position Surface form Disambiguated ID Type / Status
Subject Rebecca Rolfe E330729 entity
Predicate givenName P17 FINISHED
Object Rebecca
Rebecca is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
 E3910 NE FINISHED

How this triple was built (4 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 Rolfe, givenName, Rebecca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rebecca
Context triple: [Rebecca Rolfe, givenName, Rebecca]
  • A. 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.
  • B. Rebecca
    Rebecca is a courageous and compassionate Jewish healer in Sir Walter Scott's novel "Ivanhoe," renowned for her integrity and tragic, unrequited love.
  • C. Rebecca
    Rebecca is a prominent biblical matriarch, known as the wife of Isaac and the mother of Esau and Jacob in the Hebrew Bible.
  • D. Rebecca
    "Rebecca" is a classic 1940 psychological thriller film directed by Alfred Hitchcock, adapted from Daphne du Maurier’s novel, renowned for its haunting atmosphere and performances by Laurence Olivier, Joan Fontaine, and Gladys Cooper.
  • E. Rebecca
    Rebecca is a fictional character appearing in the British television drama series "Ashes to Ashes."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rebecca
Triple: [Rebecca Rolfe, givenName, Rebecca]
Generated description
Rebecca is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rebecca
Target entity description: Rebecca is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
  • A. Rebecca chosen
    Rebecca is a feminine given name of Hebrew origin meaning “to tie” or “to bind,” widely used in English-speaking countries.
  • 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
    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
    Rebecca is a fictional character appearing in the British television drama series "Ashes to Ashes."
  • E. 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.
  • F. None of above.

Provenance (5 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de022690ac8190bd5410ecc659a2a7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a864c0ac81909e5fcd134ea66414 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a94390988190bcaedcda0b691fbb completed May 3, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69f7a9fe250c8190b66062e7fcea8d86 completed May 3, 2026, 8:03 p.m.
Created at: April 9, 2026, 10:10 p.m.