Triple

T7662732
Position Surface form Disambiguated ID Type / Status
Subject Aaron Klug E173547 entity
Predicate familyName P18 FINISHED
Object Klug
Klug is a surname most notably associated with Aaron Klug, the Nobel Prize–winning chemist and biophysicist known for his work on crystallographic electron microscopy.
E680043 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: Klug | Statement: [Aaron Klug, familyName, Klug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klug
Context triple: [Aaron Klug, familyName, Klug]
  • A. 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.
  • B. Klausi
    Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
  • C. Kugler
    Kugler is a German-language surname borne by various notable individuals across fields such as history, the arts, and public life.
  • D. Thagard
    Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
  • E. the Brilliant
    The Brilliant was the epithet of George V of Georgia, a 14th-century king renowned for restoring and strengthening the Georgian kingdom after a period of decline.
  • 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: Klug
Triple: [Aaron Klug, familyName, Klug]
Generated description
Klug is a surname most notably associated with Aaron Klug, the Nobel Prize–winning chemist and biophysicist known for his work on crystallographic electron microscopy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Klug
Target entity description: Klug is a surname most notably associated with Aaron Klug, the Nobel Prize–winning chemist and biophysicist known for his work on crystallographic electron microscopy.
  • A. 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.
  • B. Klausi
    Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
  • C. Kugler
    Kugler is a German-language surname borne by various notable individuals across fields such as history, the arts, and public life.
  • D. Thagard
    Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
  • E. the Brilliant
    The Brilliant was the epithet of George V of Georgia, a 14th-century king renowned for restoring and strengthening the Georgian kingdom after a period of decline.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a74a2c81909f78ab2de7ce807c completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b1aaef081908d1d181ea7c28c2f completed March 29, 2026, 3:23 a.m.
NEDg Description generation batch_69c89e177fd08190a6f3a70cf32365d9 completed March 29, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69c89e7328f4819088651b60e7af457d completed March 29, 2026, 3:37 a.m.
Created at: March 27, 2026, 3:59 p.m.