Triple

T11695929
Position Surface form Disambiguated ID Type / Status
Subject Rachel, Nevada E277993 entity
Predicate namedAfter P63 FINISHED
Object Rachel Jones
Rachel Jones is the woman after whom the small town of Rachel, Nevada—known for its proximity to Area 51—was named.
E969633 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 Jones | Statement: [Rachel, Nevada, namedAfter, Rachel Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Jones
Context triple: [Rachel, Nevada, namedAfter, Rachel Jones]
  • A. Elizabeth Jones
    Elizabeth Jones was the wife of British novelist Patrick O'Brian, known for her long and supportive partnership during the period he wrote his acclaimed Aubrey–Maturin series.
  • B. Sarah Jones
    Sarah Jones was the wife of William R. Davie, a prominent American Revolutionary War officer, statesman, and founder of the University of North Carolina.
  • C. Sarah Jones
    Sarah Jones is an American actress best known for her role as NASA astronaut Tracy Stevens in the alternate-history science fiction series "For All Mankind."
  • D. Laura Jones
    Laura Jones is an Australian screenwriter known for her work on acclaimed films such as "High Tide" (1987) and several literary adaptations.
  • E. Renee Jones
    Renee Jones is the wife of bestselling American legal-thriller author John Grisham.
  • 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 Jones
Triple: [Rachel, Nevada, namedAfter, Rachel Jones]
Generated description
Rachel Jones is the woman after whom the small town of Rachel, Nevada—known for its proximity to Area 51—was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rachel Jones
Target entity description: Rachel Jones is the woman after whom the small town of Rachel, Nevada—known for its proximity to Area 51—was named.
  • A. Elizabeth Jones
    Elizabeth Jones was the wife of British novelist Patrick O'Brian, known for her long and supportive partnership during the period he wrote his acclaimed Aubrey–Maturin series.
  • B. Sarah Jones
    Sarah Jones was the wife of William R. Davie, a prominent American Revolutionary War officer, statesman, and founder of the University of North Carolina.
  • C. Sarah Jones
    Sarah Jones is an American actress best known for her role as NASA astronaut Tracy Stevens in the alternate-history science fiction series "For All Mankind."
  • D. Laura Jones
    Laura Jones is an Australian screenwriter known for her work on acclaimed films such as "High Tide" (1987) and several literary adaptations.
  • E. Renee Jones
    Renee Jones is the wife of bestselling American legal-thriller author John Grisham.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47cef60819088b7cc3a3a711e4c completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f60a527dc08190a3ce08ddedaa5753 completed May 2, 2026, 2:29 p.m.
NEDg Description generation batch_69f60cca20f48190b8e6e591144f252e completed May 2, 2026, 2:40 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4c30448190874f253b864ef61e completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:40 p.m.