Triple

T8979087
Position Surface form Disambiguated ID Type / Status
Subject Bridgette E214474 entity
Predicate hasSpellingVariant P457 FINISHED
Object Bridgitt
Bridgitt is a given name that functions as an alternative spelling of the name Bridgette.
E769998 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: Bridgitt | Statement: [Bridgette, hasSpellingVariant, Bridgitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridgitt
Context triple: [Bridgette, hasSpellingVariant, Bridgitt]
  • A. Elizabeth of the Trinity
    Elizabeth of the Trinity was a French Discalced Carmelite nun and mystic, known for her profound writings on contemplative prayer and the indwelling of the Holy Trinity.
  • B. Cicely
    Cicely is a feminine given name most famously borne by the acclaimed American actress Cicely Tyson.
  • C. Margery
    Margery is a feminine given name of English origin that has been used since the Middle Ages.
  • D. Mary Dale
    Mary Dale is a fictional love interest character associated with Jack Robin, likely appearing in a romantic or dramatic narrative.
  • E. Christiana
    Christiana is a personal name used as a given name, notably borne by individuals such as Christiana Wyly.
  • 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: Bridgitt
Triple: [Bridgette, hasSpellingVariant, Bridgitt]
Generated description
Bridgitt is a given name that functions as an alternative spelling of the name Bridgette.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bridgitt
Target entity description: Bridgitt is a given name that functions as an alternative spelling of the name Bridgette.
  • A. Elizabeth of the Trinity
    Elizabeth of the Trinity was a French Discalced Carmelite nun and mystic, known for her profound writings on contemplative prayer and the indwelling of the Holy Trinity.
  • B. Cicely
    Cicely is a feminine given name most famously borne by the acclaimed American actress Cicely Tyson.
  • C. Margery
    Margery is a feminine given name of English origin that has been used since the Middle Ages.
  • D. Mary Dale
    Mary Dale is a fictional love interest character associated with Jack Robin, likely appearing in a romantic or dramatic narrative.
  • E. Christiana
    Christiana is a personal name used as a given name, notably borne by individuals such as Christiana Wyly.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a4b3e88190b778a9b5589cab6d completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9719f5c8190bc22c3c7375b54f7 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfcb07ee80819098f9df620e0b82c2 completed April 3, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_69cfcb6787b8819084ff84b7f1186e90 completed April 3, 2026, 2:15 p.m.
Created at: March 30, 2026, 7:03 p.m.