Triple

T19567113
Position Surface form Disambiguated ID Type / Status
Subject Anna Rebecca Hall E489612 entity
Predicate middleName P143 FINISHED
Object Rebecca
Rebecca is a feminine given name of Hebrew origin, traditionally associated with the biblical wife of Isaac and widely 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: [Anna Rebecca Hall, middleName, Rebecca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebecca
Context triple: [Anna Rebecca Hall, middleName, 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
    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. 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: [Anna Rebecca Hall, middleName, Rebecca]
Generated description
Rebecca is a feminine given name of Hebrew origin, traditionally associated with the biblical wife of Isaac and widely 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, traditionally associated with the biblical wife of Isaac and widely 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 the first name of Rebecca Sugar, the American animator, writer, and creator of the animated series "Steven Universe."
  • E. Rebecca
    Rebecca is a central character in the play "The Parisian Woman," around whom the story’s political and personal intrigues revolve.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f784ff88190a515c78429de3caf completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0757898214819090d82acf3fd830ff completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a075865eaac819085b35d165fda91d4 completed May 15, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_6a07590b84488190a33889335ba95c95 completed May 15, 2026, 5:34 p.m.
Created at: April 10, 2026, 1:42 p.m.