Triple

T2178962
Position Surface form Disambiguated ID Type / Status
Subject Ashley Wilkes E48996 entity
Predicate familyName P18 FINISHED
Object Wilkes
Wilkes is a surname of English origin borne by various notable individuals across politics, the arts, and public life.
 E241217 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: Wilkes | Statement: [Ashley Wilkes, familyName, Wilkes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wilkes
Context triple: [Ashley Wilkes, familyName, Wilkes]
  • A. Maury
    Maury is a masculine given name, typically used as a familiar or informal form of the name Maurice.
  • B. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • C. Cherokee Louise
    "Cherokee Louise" is a song by Joni Mitchell that poignantly tells the story of a troubled young girl and themes of abuse and resilience.
  • D. Collier
    Collier is a surname most prominently associated in sports with Napheesa Collier, an American professional basketball player and WNBA All-Star.
  • E. Hooper
    Hooper is a surname most notably associated with Harry Hooper, a Hall of Fame Major League Baseball right fielder from the early 20th century.
  • 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: Wilkes
Triple: [Ashley Wilkes, familyName, Wilkes]
Generated description
Wilkes is a surname of English origin borne by various notable individuals across politics, the arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wilkes
Target entity description: Wilkes is a surname of English origin borne by various notable individuals across politics, the arts, and public life.
  • A. Maury
    Maury is a masculine given name, typically used as a familiar or informal form of the name Maurice.
  • B. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • C. Cherokee Louise
    "Cherokee Louise" is a song by Joni Mitchell that poignantly tells the story of a troubled young girl and themes of abuse and resilience.
  • D. Collier
    Collier is a surname most prominently associated in sports with Napheesa Collier, an American professional basketball player and WNBA All-Star.
  • E. Hooper
    Hooper is a surname most notably associated with Harry Hooper, a Hall of Fame Major League Baseball right fielder from the early 20th century.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbeefb7648190b8fc57cf60553579 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da36db0819093f832d44d228bba completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e4a45a08190bd96af6cda06ab35 completed March 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ec4a35c8190bffc7a183497e764 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.