Triple

T17583064
Position Surface form Disambiguated ID Type / Status
Subject Briana Scurry E428251 entity
Predicate givenName P17 FINISHED
Object Briana
Briana is the given name of Briana Scurry, a pioneering American soccer goalkeeper and two-time Olympic gold medalist.
E1283161 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: Briana | Statement: [Briana Scurry, givenName, Briana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Briana
Context triple: [Briana Scurry, givenName, Briana]
  • A. Brianna
    Brianna is the central protagonist of the film "The First Time," around whom the story’s main events and character developments revolve.
  • B. Brenna
    Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
  • C. Brenna
    Brenna is a village and popular tourist resort in southern Poland, situated in the Silesian Beskids mountain range.
  • D. Elana
    Elana is a Polish football club based in the city of Toruń.
  • E. Breanna
    Breanna is the given name of Breanna Stewart, a prominent American professional basketball player and multiple-time WNBA champion and MVP.
  • 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: Briana
Triple: [Briana Scurry, givenName, Briana]
Generated description
Briana is the given name of Briana Scurry, a pioneering American soccer goalkeeper and two-time Olympic gold medalist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Briana
Target entity description: Briana is the given name of Briana Scurry, a pioneering American soccer goalkeeper and two-time Olympic gold medalist.
  • A. Brianna
    Brianna is the central protagonist of the film "The First Time," around whom the story’s main events and character developments revolve.
  • B. Brenna
    Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
  • C. Brenna
    Brenna is a village and popular tourist resort in southern Poland, situated in the Silesian Beskids mountain range.
  • D. Elana
    Elana is a Polish football club based in the city of Toruń.
  • E. Breanna
    Breanna is the given name of Breanna Stewart, a prominent American professional basketball player and multiple-time WNBA champion and MVP.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cf556881908d2935b3761f65df completed April 19, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a022314ba048190b9f85d578e148161 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a02266f61308190b263acc094d91a5b completed May 11, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0227289a5c8190b2aa7e0a6b7bff54 completed May 11, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:50 a.m.