Triple

T3567461
Position Surface form Disambiguated ID Type / Status
Subject Bridget Fonda E75484 entity
Predicate givenName P17 FINISHED
Object Bridget
Bridget is a feminine given name most notably associated with American actress Bridget Fonda.
E369787 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: Bridget | Statement: [Bridget Fonda, givenName, Bridget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridget
Context triple: [Bridget Fonda, givenName, Bridget]
  • A. Bridgette
    Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
  • B. Brigid Blake
    Brigid Blake is a central character in Stephen Karam’s play *The Humans*, a young woman navigating family tensions, financial strain, and personal uncertainty during a fraught Thanksgiving gathering.
  • C. Gwendolyn
    Gwendolyn is a feminine given name most famously borne by the Pulitzer Prize–winning American poet Gwendolyn Brooks.
  • D. Colleen
    Colleen is a feminine given name of Irish origin, commonly used in English-speaking countries.
  • E. Thomasin
    Thomasin is the teenage Puritan girl at the center of the psychological horror film "The Witch," whose experiences drive the story’s exploration of religious paranoia and supernatural evil.
  • 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: Bridget
Triple: [Bridget Fonda, givenName, Bridget]
Generated description
Bridget is a feminine given name most notably associated with American actress Bridget Fonda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bridget
Target entity description: Bridget is a feminine given name most notably associated with American actress Bridget Fonda.
  • A. Bridgette
    Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
  • B. Brigid Blake
    Brigid Blake is a central character in Stephen Karam’s play *The Humans*, a young woman navigating family tensions, financial strain, and personal uncertainty during a fraught Thanksgiving gathering.
  • C. Gwendolyn
    Gwendolyn is a feminine given name most famously borne by the Pulitzer Prize–winning American poet Gwendolyn Brooks.
  • D. Colleen
    Colleen is a feminine given name of Irish origin, commonly used in English-speaking countries.
  • E. Thomasin
    Thomasin is the teenage Puritan girl at the center of the psychological horror film "The Witch," whose experiences drive the story’s exploration of religious paranoia and supernatural evil.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0ab51d881908f004fae47ab09d9 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbb01d108190bd098c86b0180b78 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bc2f3c1c8190906e34e8c70287cb completed March 13, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69b3f5b2fdcc8190842d2d7bd09c65c4 completed March 13, 2026, 11:32 a.m.
Created at: March 8, 2026, 3:21 p.m.