Triple

T12420835
Position Surface form Disambiguated ID Type / Status
Subject Rochelle Aytes E296765 entity
Predicate givenName P17 FINISHED
Object Rochelle
Rochelle is a feminine given name of French origin, commonly used in English-speaking countries.
 E864784 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: Rochelle | Statement: [Rochelle Aytes, givenName, Rochelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rochelle
Context triple: [Rochelle Aytes, givenName, Rochelle]
  • A. Rochelle
    Rochelle is the full given name of Chellie Pingree, an American politician serving as a U.S. Representative from Maine.
  • B. Rochelle
    Rochelle is the tough, outspoken, and fiercely protective mother of Chris in the sitcom "Everybody Hates Chris," known for her strict parenting and sharp humor.
  • C. Laurel
    Laurel is a small city in Maryland known for its suburban character and location between Washington, D.C. and Baltimore.
  • D. Laurel
    Laurel is a feminine given name of English origin, derived from the laurel tree traditionally associated with honor and victory.
  • E. Laurel
    Laurel is a small city in southern Montana, known as a residential and industrial community near Billings and a gateway to outdoor recreation in the Yellowstone region.
  • 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: Rochelle
Triple: [Rochelle Aytes, givenName, Rochelle]
Generated description
Rochelle is a feminine given name of French origin, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rochelle
Target entity description: Rochelle is a feminine given name of French origin, commonly used in English-speaking countries.
  • A. Rochelle
    Rochelle is the full given name of Chellie Pingree, an American politician serving as a U.S. Representative from Maine.
  • B. Rochelle chosen
    Rochelle is the tough, outspoken, and fiercely protective mother of Chris in the sitcom "Everybody Hates Chris," known for her strict parenting and sharp humor.
  • C. Laurel
    Laurel is a feminine given name of English origin, derived from the laurel tree traditionally associated with honor and victory.
  • D. Laurel
    Laurel is a small city in Maryland known for its suburban character and location between Washington, D.C. and Baltimore.
  • E. Laurel
    Laurel is a small city in southern Montana, known as a residential and industrial community near Billings and a gateway to outdoor recreation in the Yellowstone region.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6efd748190a5d9396a343e41e1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634933b9881909fd592ede7c3e49c completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f6356c21908190b34d1324da8f8052 completed May 2, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69f63693f5c881909a9683a0c6a68739 completed May 2, 2026, 5:38 p.m.
Created at: April 8, 2026, 9:55 p.m.