Triple

T20653327
Position Surface form Disambiguated ID Type / Status
Subject Kissing Lessons E507556 entity
Predicate hasCharacter P2308 FINISHED
Object Rachel
Rachel is a central character in the contemporary romance novel "Kissing Lessons," involved in a story of teenage relationships, self-discovery, and emotional growth.
E1444349 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: Rachel | Statement: [Kissing Lessons, hasCharacter, Rachel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel
Context triple: [Kissing Lessons, hasCharacter, Rachel]
  • A. Rachel
    Rachel is the famous bronze piggy bank sculpture and unofficial mascot of Seattle’s Pike Place Market, known for collecting donations for local social services.
  • B. Rachel
    Rachel is a fictional character portrayed by French actress Clémence Poésy, known for her roles in film and television dramas.
  • C. Rachel
    Rachel is the given name of the American poet, critic, and feminist scholar Rachel Blau DuPlessis.
  • D. Rachel
    Rachel is a prominent biblical matriarch in the Book of Genesis, known as Jacob’s beloved wife and the mother of Joseph and Benjamin.
  • E. Rachel
    Rachel is a central protagonist in the science fiction television series "The Starlost," playing a key role in the story’s exploration of a generation ship and its isolated communities.
  • 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: Rachel
Triple: [Kissing Lessons, hasCharacter, Rachel]
Generated description
Rachel is a central character in the contemporary romance novel "Kissing Lessons," involved in a story of teenage relationships, self-discovery, and emotional growth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rachel
Target entity description: Rachel is a central character in the contemporary romance novel "Kissing Lessons," involved in a story of teenage relationships, self-discovery, and emotional growth.
  • A. Rachel
    Rachel is a central character in Michael Ondaatje’s novel "Warlight," whose mysterious past and complex relationships drive much of the story’s intrigue and emotional tension.
  • B. Rachel
    Rachel is a young girl in Sandra Cisneros’s novel "The House on Mango Street," known as one of Esperanza’s neighborhood friends who helps portray the complexities of growing up in a Latino community in Chicago.
  • C. Rachel
    Rachel is a central protagonist in the science fiction television series "The Starlost," playing a key role in the story’s exploration of a generation ship and its isolated communities.
  • D. Rachel
    Rachel is a central protagonist in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s broadcast journalists.
  • E. Rachel
    Rachel is a central character in the comedy series "Mythic Quest," known for her role as a socially awkward but passionate game tester navigating work, relationships, and personal growth in the game studio.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2eb8c7081908e7dd7f7fa375190 completed April 20, 2026, 11:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd56ad988190b2a44569b1e9e46b completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d174278481909db394da2a7ff969 completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d293523c8190aaa01c6c73c9afd5 completed May 16, 2026, 8:24 p.m.
Created at: April 16, 2026, 11:43 a.m.