Triple

T19372249
Position Surface form Disambiguated ID Type / Status
Subject Camryn Alexis Paul E484568 entity
Predicate givenName P17 FINISHED
Object Camryn
Camryn is a feminine given name that gained popularity in English-speaking countries as a modern variant of Cameron.
 E796042 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: Camryn | Statement: [Camryn Alexis Paul, givenName, Camryn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Camryn
Context triple: [Camryn Alexis Paul, givenName, Camryn]
  • A. Camryn Jones
    Camryn Jones is an American actress best known for starring as one of the four time-traveling newspaper delivery girls in the sci-fi drama series "Paper Girls."
  • B. Camryn Manheim
    Camryn Manheim is an American actress best known for her Emmy-winning role as attorney Ellenor Frutt on the legal drama series "The Practice."
  • C. Cassidy Rae
    Cassidy Rae is an American actress best known for her roles in 1990s television series and made-for-TV movies.
  • D. Jazmyn
    Jazmyn is a feminine given name, often considered a modern or variant spelling of Jasmine.
  • E. Kailyn
    Kailyn is a feminine given name, often considered a modern variant or stylistic spelling related to names like Kylie and Kaylin.
  • 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: Camryn
Triple: [Camryn Alexis Paul, givenName, Camryn]
Generated description
Camryn is a feminine given name that gained popularity in English-speaking countries as a modern variant of Cameron.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Camryn
Target entity description: Camryn is a feminine given name that gained popularity in English-speaking countries as a modern variant of Cameron.
  • A. Camryn Jones chosen
    Camryn Jones is an American actress best known for starring as one of the four time-traveling newspaper delivery girls in the sci-fi drama series "Paper Girls."
  • B. Camryn Manheim
    Camryn Manheim is an American actress best known for her Emmy-winning role as attorney Ellenor Frutt on the legal drama series "The Practice."
  • C. Cassidy Rae
    Cassidy Rae is an American actress best known for her roles in 1990s television series and made-for-TV movies.
  • D. Jazmyn
    Jazmyn is a feminine given name, often considered a modern or variant spelling of Jasmine.
  • E. Kailyn
    Kailyn is a feminine given name, often considered a modern variant or stylistic spelling related to names like Kylie and Kaylin.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619b1b5fc819089f9fc43f407bbb0 completed April 20, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07241bc0208190863311598a29eede completed May 15, 2026, 1:48 p.m.
NEDg Description generation batch_6a07276885a88190b1711a1735de7c26 completed May 15, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_6a07282bf05c819096292fc6a6f5db82 completed May 15, 2026, 2:05 p.m.
Created at: April 10, 2026, 1:35 p.m.