Triple

T18759333
Position Surface form Disambiguated ID Type / Status
Subject Rachel Whiteread E458728 entity
Predicate givenName P17 FINISHED
Object Rachel
Rachel is a common feminine given name of Hebrew origin, meaning "ewe" and traditionally associated with the biblical matriarch Rachel.
E889147 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: [Rachel Whiteread, givenName, Rachel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel
Context triple: [Rachel Whiteread, givenName, Rachel]
  • A. 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.
  • B. 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.
  • 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 character in Michael Ondaatje’s novel "Warlight," whose mysterious past and complex relationships drive much of the story’s intrigue and emotional tension.
  • E. Rachel
    Rachel is the central character in the psychological thriller miniseries "Behind Her Eyes," portrayed by actress Simona Brown.
  • 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: [Rachel Whiteread, givenName, Rachel]
Generated description
Rachel is a common feminine given name of Hebrew origin, meaning "ewe" and traditionally associated with the biblical matriarch Rachel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rachel
Target entity description: Rachel is a common feminine given name of Hebrew origin, meaning "ewe" and traditionally associated with the biblical matriarch Rachel.
  • A. Rachel chosen
    Rachel is a feminine given name of Hebrew origin meaning "ewe," historically associated with the biblical matriarch and widely used in many cultures.
  • B. 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.
  • C. Rachel
    Rachel is the given name of Rachel Carson, the influential American marine biologist and conservationist whose writings advanced the global environmental movement.
  • D. Rachel
    Rachel is the given name of the American poet, critic, and feminist scholar Rachel Blau DuPlessis.
  • E. Rachel
    Rachel is a fictional character portrayed by French actress Clémence Poésy, known for her roles in film and television dramas.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d7db2f48190a4f1c5c9801fe180 completed April 20, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d3e4f048190b72ec4ed1dec6c55 completed May 14, 2026, 3:10 a.m.
NEDg Description generation batch_6a053f3c45308190a87170c5d54ff3cd completed May 14, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_6a053fd358a08190a1cd97c02f0e814e completed May 14, 2026, 3:21 a.m.
Created at: April 10, 2026, 11:52 a.m.