Triple

T19649040
Position Surface form Disambiguated ID Type / Status
Subject Shirlie Kemp E471758 entity
Predicate familyName P18 FINISHED
Object Kemp NE NERFINISHED

How this triple was built (2 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: [Shirlie Kemp, familyName, Kemp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kemp
Context triple: [Shirlie Kemp, familyName, Kemp]
  • A. Kemp chosen
    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.
  • B. Kemp
    Kemp is a character in H. G. Wells' science fiction novel "The Invisible Man," serving as a former acquaintance and eventual victim of the unhinged scientist Dr. Jack Griffin.
  • C. Kempson
    Kempson is an English surname most notably associated with the British acting family that includes actress Rachel Kempson.
  • D. Kempner
    Kempner is a surname most notably associated with Karen Kempner Zuckerberg, the mother of Facebook co-founder Mark Zuckerberg.
  • E. Kimble
    Kimble is the surname of former American college basketball star Bo Kimble, best known for leading Loyola Marymount University's high-scoring offense in the late 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641278e9881909bdf8d440ef6eba4 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.