Triple

T2998578
Position Surface form Disambiguated ID Type / Status
Subject Connie Reid E81129 entity
Predicate hasGivenName P17 FINISHED
Object Connie
Connie is a feminine given name commonly used in English-speaking countries, often as a diminutive of Constance or Conrado.
E257893 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: Connie | Statement: [Connie Reid, hasGivenName, Connie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Connie
Context triple: [Connie Reid, hasGivenName, Connie]
  • A. Connie
    Connie is a supporting character in the 2019 folk horror film "Midsommar," one of the visiting outsiders who becomes entangled in the sinister rituals of a remote Swedish commune.
  • B. Colleen
    Colleen is a feminine given name of Irish origin, commonly used in English-speaking countries.
  • C. Laurie
    Laurie is a charming, wealthy, and impulsive young man who becomes a close friend and would-be suitor to the March sisters in Louisa May Alcott’s novel "Little Women."
  • D. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • E. Lori
    Lori is a feminine given name commonly used in English-speaking countries, often as a diminutive of Laura or Lorraine.
  • 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: Connie
Triple: [Connie Reid, hasGivenName, Connie]
Generated description
Connie is a feminine given name commonly used in English-speaking countries, often as a diminutive of Constance or Conrado.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Connie
Target entity description: Connie is a feminine given name commonly used in English-speaking countries, often as a diminutive of Constance or Conrado.
  • A. Connie chosen
    Connie is a supporting character in the 2019 folk horror film "Midsommar," one of the visiting outsiders who becomes entangled in the sinister rituals of a remote Swedish commune.
  • B. Colleen
    Colleen is a feminine given name of Irish origin, commonly used in English-speaking countries.
  • C. Laurie
    Laurie is a charming, wealthy, and impulsive young man who becomes a close friend and would-be suitor to the March sisters in Louisa May Alcott’s novel "Little Women."
  • D. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • E. Lori
    Lori is a feminine given name commonly used in English-speaking countries, often as a diminutive of Laura or Lorraine.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f766408190a5591efce8346bb9 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e468db4819094fb7badbd48ce1e completed March 11, 2026, 8:56 a.m.
NEDg Description generation batch_69b12ec0eeb08190943ca528fdcf2cf2 completed March 11, 2026, 8:58 a.m.
NED2 Entity disambiguation (via description) batch_69b1d2cf78e88190b548e75cdaca6a66 completed March 11, 2026, 8:38 p.m.
Created at: March 8, 2026, 2:59 p.m.