Triple

T5594153
Position Surface form Disambiguated ID Type / Status
Subject Crowell E146952 entity
Predicate hasNotableBearer P458 FINISHED
Object Rachel Crowell
Rachel Crowell is a science and math writer known for making complex quantitative topics accessible to broad audiences through clear, engaging journalism.
 E543375 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 Crowell | Statement: [Crowell, hasNotableBearer, Rachel Crowell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rachel Crowell
Context triple: [Crowell, hasNotableBearer, Rachel Crowell]
  • A. Ann Crowell
    Ann Crowell is a person notable enough to be recognized as a bearer of the Crowell surname.
  • B. Anna Beth Sully
    Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
  • C. Elizabeth Clemons
    Elizabeth Clemons is known as the spouse of Clarence Clemons, the famed saxophonist for Bruce Springsteen's E Street Band.
  • D. Carrie Sciandra
    Carrie Sciandra was the wife of notorious Pennsylvania crime boss Russell Bufalino, associated with the American Mafia.
  • E. Sarah Barcant
    Sarah Barcant is the determined lawyer protagonist in Gillian Slovo’s novel "Red Dust," who returns to her South African hometown to confront buried truths from the apartheid era.
  • 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 Crowell
Triple: [Crowell, hasNotableBearer, Rachel Crowell]
Generated description
Rachel Crowell is a science and math writer known for making complex quantitative topics accessible to broad audiences through clear, engaging journalism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rachel Crowell
Target entity description: Rachel Crowell is a science and math writer known for making complex quantitative topics accessible to broad audiences through clear, engaging journalism.
  • A. Ann Crowell
    Ann Crowell is a person notable enough to be recognized as a bearer of the Crowell surname.
  • B. Anna Beth Sully
    Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
  • C. Elizabeth Clemons
    Elizabeth Clemons is known as the spouse of Clarence Clemons, the famed saxophonist for Bruce Springsteen's E Street Band.
  • D. Carrie Sciandra
    Carrie Sciandra was the wife of notorious Pennsylvania crime boss Russell Bufalino, associated with the American Mafia.
  • E. Sarah Barcant
    Sarah Barcant is the determined lawyer protagonist in Gillian Slovo’s novel "Red Dust," who returns to her South African hometown to confront buried truths from the apartheid era.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020bc41408190bc990da8ddeb931e completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d8c6f8881909ac2018d11f5aef8 completed March 22, 2026, 11:38 p.m.
NEDg Description generation batch_69c087210d9881909947ea160d3c9fde completed March 23, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69c0879425b88190bf989710847315c9 completed March 23, 2026, 12:21 a.m.
Created at: March 22, 2026, 3:38 p.m.