Triple

T9801681
Position Surface form Disambiguated ID Type / Status
Subject McKaley Miller E237851 entity
Predicate givenName P17 FINISHED
Object McKaley
McKaley is an American actress best known for her roles in television series such as "Hart of Dixie" and "Scream Queens."
 E821727 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: McKaley | Statement: [McKaley Miller, givenName, McKaley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: McKaley
Context triple: [McKaley Miller, givenName, McKaley]
  • A. McCauley
    McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
  • B. Kegley
    Kegley is an unincorporated community located in Mercer County, West Virginia, United States.
  • C. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • D. Keally
    Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
  • E. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • 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: McKaley
Triple: [McKaley Miller, givenName, McKaley]
Generated description
McKaley is an American actress best known for her roles in television series such as "Hart of Dixie" and "Scream Queens."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: McKaley
Target entity description: McKaley is an American actress best known for her roles in television series such as "Hart of Dixie" and "Scream Queens."
  • A. McCauley
    McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
  • B. Kegley
    Kegley is an unincorporated community located in Mercer County, West Virginia, United States.
  • C. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • D. Keally
    Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
  • E. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62b41048190bcef70a7591830c6 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44edac48190a44fdfb858d0dbba completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c50af000819087d643cc41a6fcc8 completed April 5, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5d39b288190b276371591a86399 completed April 5, 2026, 2:15 a.m.
Created at: March 30, 2026, 8:29 p.m.