Triple

T5442347
Position Surface form Disambiguated ID Type / Status
Subject Barry Wilmore E122164 entity
Predicate familyName P18 FINISHED
Object Wilmore
Wilmore is an English-language surname borne by various notable individuals across fields such as entertainment, sports, and public service.
 E520667 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: Wilmore | Statement: [Barry Wilmore, familyName, Wilmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wilmore
Context triple: [Barry Wilmore, familyName, Wilmore]
  • A. Mauldin
    Mauldin is a city in South Carolina, United States, known as a suburban community within the Greenville metropolitan area.
  • B. Mauldin
    Mauldin is the surname of American music producer, songwriter, and record executive Jermaine Dupri.
  • C. Wilmore, Kentucky
    Wilmore, Kentucky is a small central Kentucky city known for its religious and educational institutions, including Asbury University and Asbury Theological Seminary.
  • D. Greenwood
    Greenwood is a common English surname borne by numerous notable individuals across fields such as music, sports, and politics.
  • E. Greenwood
    Greenwood is a residential neighborhood within the city of Warwick in the U.S. state of Rhode Island.
  • 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: Wilmore
Triple: [Barry Wilmore, familyName, Wilmore]
Generated description
Wilmore is an English-language surname borne by various notable individuals across fields such as entertainment, sports, and public service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wilmore
Target entity description: Wilmore is an English-language surname borne by various notable individuals across fields such as entertainment, sports, and public service.
  • A. Mauldin
    Mauldin is a city in South Carolina, United States, known as a suburban community within the Greenville metropolitan area.
  • B. Mauldin
    Mauldin is the surname of American music producer, songwriter, and record executive Jermaine Dupri.
  • C. Wilmore, Kentucky
    Wilmore, Kentucky is a small central Kentucky city known for its religious and educational institutions, including Asbury University and Asbury Theological Seminary.
  • D. Greenwood
    Greenwood is a common English surname borne by numerous notable individuals across fields such as music, sports, and politics.
  • E. Greenwood
    Greenwood is a residential neighborhood within the city of Wakefield in Middlesex County, Massachusetts.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91cb5eec8190bdf2ef0bdea84a62 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf412daa408190a46926f28339aeac completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf4261735881909c16322af1156d67 completed March 22, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69bf42b97d40819087a98c1cc58bb964 completed March 22, 2026, 1:15 a.m.
Created at: March 20, 2026, 2:07 p.m.