Triple

T7422461
Position Surface form Disambiguated ID Type / Status
Subject Target Corporation E171282 entity
Predicate brandName P1500 FINISHED
Object Target Circle
Target Circle is Target Corporation’s free loyalty and rewards program that offers members personalized deals, discounts, and other shopping benefits.
 E664359 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: Target Circle | Statement: [Target Corporation, brandName, Target Circle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Target Circle
Context triple: [Target Corporation, brandName, Target Circle]
  • A. Target Center
    Target Center is a multi-purpose indoor arena in downtown Minneapolis best known as the home venue for Minnesota’s professional basketball teams.
  • B. Several Circles
    Several Circles is an abstract painting by Wassily Kandinsky that explores pure geometric forms and color relationships through a dynamic composition of overlapping circles.
  • C. Circling
    "Circling" is a song featured on the album *Higher Truth* by Chris Cornell.
  • D. Bullseye
    Bullseye is Woody’s loyal toy horse in the Toy Story franchise, known for his expressive, nonverbal personality and close bond with the other toys.
  • E. Bullseye
    Bullseye is a British television game show that combines darts with general knowledge quizzes, originally popular in the 1980s and 1990s.
  • 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: Target Circle
Triple: [Target Corporation, brandName, Target Circle]
Generated description
Target Circle is Target Corporation’s free loyalty and rewards program that offers members personalized deals, discounts, and other shopping benefits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Target Circle
Target entity description: Target Circle is Target Corporation’s free loyalty and rewards program that offers members personalized deals, discounts, and other shopping benefits.
  • A. Target Center
    Target Center is a multi-purpose indoor arena in downtown Minneapolis best known as the home venue for Minnesota’s professional basketball teams.
  • B. Several Circles
    Several Circles is an abstract painting by Wassily Kandinsky that explores pure geometric forms and color relationships through a dynamic composition of overlapping circles.
  • C. Circling
    "Circling" is a song featured on the album *Higher Truth* by Chris Cornell.
  • D. Bullseye
    Bullseye is a British television game show that combines darts with general knowledge quizzes, originally popular in the 1980s and 1990s.
  • E. Bullseye
    Bullseye is Woody’s loyal toy horse in the Toy Story franchise, known for his expressive, nonverbal personality and close bond with the other toys.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ed29ec8190804564185fe20797 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81effc488819086336eea92604fa8 completed March 28, 2026, 6:33 p.m.
NEDg Description generation batch_69c81fe025d081909f2a5c4515c60f64 completed March 28, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69c824010104819081977e89d79ebb44 completed March 28, 2026, 6:54 p.m.
Created at: March 27, 2026, 3:11 p.m.