Triple

T16215531
Position Surface form Disambiguated ID Type / Status
Subject Eugenia "Skeeter" Phelan E393583 entity
Predicate nickname P55 FINISHED
Object Skeeter
Skeeter is the outspoken, ambitious young white journalist in the novel and film "The Help," known for challenging racial norms in 1960s Mississippi.
 E1200277 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: Skeeter | Statement: [Eugenia "Skeeter" Phelan, nickname, Skeeter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skeeter
Context triple: [Eugenia "Skeeter" Phelan, nickname, Skeeter]
  • A. Skeeter
    Skeeter was the nickname of Skeeter Webb, an American Major League Baseball shortstop who played primarily in the 1940s.
  • B. Skeeter
    Skeeter is the wisecracking, puppet main character from the Nickelodeon live-action sitcom "Cousin Skeeter."
  • C. Mozzie
    Mozzie is a quirky, conspiracy-minded criminal mastermind and close ally of Neal Caffrey in the TV series "White Collar," known for his intelligence, paranoia, and offbeat humor.
  • D. Avispa
    Avispa is a Japanese professional football club based in Fukuoka that competes in the J1 League.
  • E. Muscardin
    Muscardin is a rare, light-colored red grape variety from France’s Rhône Valley, known for contributing floral aromas, high acidity, and finesse to Southern Rhône blends.
  • 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: Skeeter
Triple: [Eugenia "Skeeter" Phelan, nickname, Skeeter]
Generated description
Skeeter is the outspoken, ambitious young white journalist in the novel and film "The Help," known for challenging racial norms in 1960s Mississippi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skeeter
Target entity description: Skeeter is the outspoken, ambitious young white journalist in the novel and film "The Help," known for challenging racial norms in 1960s Mississippi.
  • A. Skeeter
    Skeeter was the nickname of Skeeter Webb, an American Major League Baseball shortstop who played primarily in the 1940s.
  • B. Skeeter
    Skeeter is the wisecracking, puppet main character from the Nickelodeon live-action sitcom "Cousin Skeeter."
  • C. Mozzie
    Mozzie is a quirky, conspiracy-minded criminal mastermind and close ally of Neal Caffrey in the TV series "White Collar," known for his intelligence, paranoia, and offbeat humor.
  • D. Avispa
    Avispa is a Japanese professional football club based in Fukuoka that competes in the J1 League.
  • E. Muscardin
    Muscardin is a rare, light-colored red grape variety from France’s Rhône Valley, known for contributing floral aromas, high acidity, and finesse to Southern Rhône blends.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227f4685c8190aa1e9304e4a62d13 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000794e6c881909c4521e4dd031971 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00084d8e308190bd90811392586753 completed May 10, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0008c7430c81908b9620369c609ad8 completed May 10, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:03 a.m.