Triple

T2451287
Position Surface form Disambiguated ID Type / Status
Subject Lemon Breeland E53708 entity
Predicate familyName P18 FINISHED
Object Breeland
Breeland is the surname of the fictional Lemon Breeland, a character from the television series "Hart of Dixie."
 E267606 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: Breeland | Statement: [Lemon Breeland, familyName, Breeland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Breeland
Context triple: [Lemon Breeland, familyName, Breeland]
  • A. Quarles
    Quarles is a surname of English origin borne by various notable individuals, including politicians, judges, and writers.
  • B. Argolis
    Argolis is a historic region in the northeastern Peloponnese of Greece, known for its rich archaeological heritage and ancient city-states.
  • C. Cloyce
    Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
  • D. Odell
    Odell is the given name of Odell Beckham Jr., a prominent American football wide receiver known for his spectacular catches and NFL career.
  • E. Lohse
    Lohse is a German surname borne by various notable individuals in fields such as science, sports, and the arts.
  • 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: Breeland
Triple: [Lemon Breeland, familyName, Breeland]
Generated description
Breeland is the surname of the fictional Lemon Breeland, a character from the television series "Hart of Dixie."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Breeland
Target entity description: Breeland is the surname of the fictional Lemon Breeland, a character from the television series "Hart of Dixie."
  • A. Quarles
    Quarles is a surname of English origin borne by various notable individuals, including politicians, judges, and writers.
  • B. Argolis
    Argolis is a historic region in the northeastern Peloponnese of Greece, known for its rich archaeological heritage and ancient city-states.
  • C. Cloyce
    Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
  • D. Odell
    Odell is the given name of Odell Beckham Jr., a prominent American football wide receiver known for his spectacular catches and NFL career.
  • E. Lohse
    Lohse is a German surname borne by various notable individuals in fields such as science, sports, and the arts.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f402b48190b871b2475983af7e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c2a7b08190beb27f6a83208e5c completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef5de0e4c8190af460b7e2fb2a5eb completed March 9, 2026, 4:31 p.m.
NED2 Entity disambiguation (via description) batch_69aef68a6a18819097876fea0120103b completed March 9, 2026, 4:34 p.m.
Created at: March 6, 2026, 9:43 p.m.