Triple

T6594114
Position Surface form Disambiguated ID Type / Status
Subject Stephen Kleene E148433 entity
Predicate familyName P18 FINISHED
Object Kleene
Kleene is a surname most notably associated with American mathematician Stephen Kleene, a pioneer in recursion theory and mathematical logic.
 E601577 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: Kleene | Statement: [Stephen Kleene, familyName, Kleene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kleene
Context triple: [Stephen Kleene, familyName, Kleene]
  • A. KLE
    KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
  • B. Klausi
    Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
  • C. Koopmans
    Koopmans is a Dutch surname most notably associated with Nobel Prize–winning economist Tjalling C. Koopmans.
  • D. Karp
    Karp is a surname most notably associated with David Karp, the founder of the microblogging platform Tumblr.
  • E. Klain
    Klain is the surname of Ron Klain, an American attorney and political operative who served as White House Chief of Staff under President Joe Biden.
  • 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: Kleene
Triple: [Stephen Kleene, familyName, Kleene]
Generated description
Kleene is a surname most notably associated with American mathematician Stephen Kleene, a pioneer in recursion theory and mathematical logic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kleene
Target entity description: Kleene is a surname most notably associated with American mathematician Stephen Kleene, a pioneer in recursion theory and mathematical logic.
  • A. KLE
    KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
  • B. Klausi
    Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
  • C. Koopmans
    Koopmans is a Dutch surname most notably associated with Nobel Prize–winning economist Tjalling C. Koopmans.
  • D. Karp
    Karp is a surname most notably associated with David Karp, the founder of the microblogging platform Tumblr.
  • E. Klain
    Klain is the surname of Ron Klain, an American attorney and political operative who served as White House Chief of Staff under President Joe Biden.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aed0b364819081cb02af7a38ef11 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbba656c81909c3876a8f2f7300e completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd09753c81909df166156ffbf82a completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce9ba47c819091496c87117e7a03 completed March 27, 2026, 6:38 p.m.
Created at: March 27, 2026, 1:55 p.m.