Triple

T571561
Position Surface form Disambiguated ID Type / Status
Subject Charles E13673 entity
Predicate hasFeminineForm P1613 FINISHED
Object Carla
Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
E101410 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: Carla | Statement: [Charles, hasFeminineForm, Carla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carla
Context triple: [Charles, hasFeminineForm, Carla]
  • A. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • B. Cynthia
    Cynthia is a common feminine given name used in various cultures, often associated with the Greek moon goddess Artemis.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Paula
    Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
  • E. Sally
    Sally is the given name of Sally K. Ride, the American physicist and astronaut who became the first American woman in space.
  • 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: Carla
Triple: [Charles, hasFeminineForm, Carla]
Generated description
Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carla
Target entity description: Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • A. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • B. Cynthia
    Cynthia is a common feminine given name used in various cultures, often associated with the Greek moon goddess Artemis.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Paula
    Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
  • E. Sally
    Sally is the given name of Sally K. Ride, the American physicist and astronaut who became the first American woman in space.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b483ac08190b3be152a7cf42011 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3a260888190b89e90c1da061733 completed March 4, 2026, 3:14 a.m.
NEDg Description generation batch_69a7a5d4125481908fa8cbfefe39f7cd completed March 4, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69a7a6584acc81908a12da6f0c2faec5 completed March 4, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:33 p.m.