Triple

T1720552
Position Surface form Disambiguated ID Type / Status
Subject Carole Robertson E37379 entity
Predicate givenName P17 FINISHED
Object Carole
Carole is a feminine given name of French origin, commonly used in English-speaking countries.
E209179 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: Carole | Statement: [Carole Robertson, givenName, Carole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carole
Context triple: [Carole Robertson, givenName, Carole]
  • A. Charlene
    Charlene is a feminine given name derived from the male name Charles.
  • B. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Phyllis
    Phyllis is a 1970s American television sitcom, spun off from The Mary Tyler Moore Show, that stars Cloris Leachman as the widowed Phyllis Lindstrom starting a new life in San Francisco.
  • E. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • 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: Carole
Triple: [Carole Robertson, givenName, Carole]
Generated description
Carole 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: Carole
Target entity description: Carole is a feminine given name of French origin, commonly used in English-speaking countries.
  • A. Charlene
    Charlene is a feminine given name derived from the male name Charles.
  • B. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Phyllis
    Phyllis is a 1970s American television sitcom, spun off from The Mary Tyler Moore Show, that stars Cloris Leachman as the widowed Phyllis Lindstrom starting a new life in San Francisco.
  • E. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63558d7c8190830cb8ee2e4a8932 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf3608208190a27b0f949da83fcd completed March 8, 2026, 8:42 p.m.
NEDg Description generation batch_69addfe46b388190b319043170253701 completed March 8, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69ade08d0ce0819097beb901dbb39d89 completed March 8, 2026, 8:48 p.m.
Created at: March 4, 2026, 7:30 p.m.