Triple

T15632248
Position Surface form Disambiguated ID Type / Status
Subject Ghost World E375843 entity
Predicate character P662 FINISHED
Object 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.
 E1168006 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: [Ghost World, character, Rebecca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rebecca
Context triple: [Ghost World, character, Rebecca]
  • A. Rebecca
    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 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 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. 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: [Ghost World, character, Rebecca]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rebecca
Target entity description: 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.
  • 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 character from the horror-comedy film series "Ghoulies," appearing as part of its cast of protagonists and victims entangled with demonic creatures.
  • C. Rebecca
    Rebecca is a fictional character appearing in the British television drama series "Ashes to Ashes."
  • D. Rebecca
    Rebecca is a courageous and compassionate Jewish healer in Sir Walter Scott's novel "Ivanhoe," renowned for her integrity and tragic, unrequited love.
  • E. Rebecca
    Rebecca is a prominent biblical matriarch, known as the wife of Isaac and the mother of Esau and Jacob in the Hebrew Bible.
  • F. None of above. chosen

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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb7338881909f3c430bb73f91d1 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f472b648190b7cd532a1b16373e completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff606f627081909e6ea230f30c917b completed May 9, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69ff6136a8c88190a83ad9232a338082 completed May 9, 2026, 4:30 p.m.
Created at: April 10, 2026, 4:14 a.m.