Triple

T3082878
Position Surface form Disambiguated ID Type / Status
Subject Shawn Kemp E64299 entity
Predicate familyName P18 FINISHED
Object Kemp
Kemp is a surname most famously associated with former NBA All-Star forward Shawn Kemp, known for his high-flying dunks with the Seattle SuperSonics in the 1990s.
 E325923 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: Kemp | Statement: [Shawn Kemp, familyName, Kemp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kemp
Context triple: [Shawn Kemp, familyName, Kemp]
  • A. Kempner
    Kempner is a surname most notably associated with Karen Kempner Zuckerberg, the mother of Facebook co-founder Mark Zuckerberg.
  • B. Kerian
    Kerian is a given name used as a personal first name.
  • C. Kee
    Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
  • D. Keston
    Keston is a historic village in the London Borough of Bromley, known for its rural character, commons, and proximity to the source of the River Ravensbourne.
  • E. Kierling
    Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
  • 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: Kemp
Triple: [Shawn Kemp, familyName, Kemp]
Generated description
Kemp is a surname most famously associated with former NBA All-Star forward Shawn Kemp, known for his high-flying dunks with the Seattle SuperSonics in the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kemp
Target entity description: Kemp is a surname most famously associated with former NBA All-Star forward Shawn Kemp, known for his high-flying dunks with the Seattle SuperSonics in the 1990s.
  • A. Kempner
    Kempner is a surname most notably associated with Karen Kempner Zuckerberg, the mother of Facebook co-founder Mark Zuckerberg.
  • B. Kerian
    Kerian is a given name used as a personal first name.
  • C. Kee
    Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
  • D. Keston
    Keston is a historic village in the London Borough of Bromley, known for its rural character, commons, and proximity to the source of the River Ravensbourne.
  • E. Kierling
    Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e877008190aacbd6f1357bdb9b completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89847e48190b82849701e119758 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f9608e88819098f4044e54e0d908 completed March 11, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69b1fe3c8f408190988e7c7e3a51057e completed March 11, 2026, 11:43 p.m.
Created at: March 8, 2026, 3:03 p.m.