Triple

T7399969
Position Surface form Disambiguated ID Type / Status
Subject Charles P. Slichter E170720 entity
Predicate familyName P18 FINISHED
Object Slichter
Slichter is a surname most notably associated with American physicist Charles P. Slichter, renowned for his pioneering work in nuclear magnetic resonance.
 E662213 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: Slichter | Statement: [Charles P. Slichter, familyName, Slichter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slichter
Context triple: [Charles P. Slichter, familyName, Slichter]
  • A. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • B. Gerlach
    Gerlach is a small, remote community in northwestern Nevada best known as the gateway to the Black Rock Desert and the annual Burning Man festival.
  • C. Gerlach
    Gerlach is the highest peak in the High Tatras and in Slovakia, renowned as the tallest summit in the entire Carpathian mountain range.
  • D. Lindemann
    Lindemann is a German surname most notably associated with Ferdinand von Lindemann, the mathematician who proved that π is a transcendental number.
  • E. Sollerud
    Sollerud is a residential neighborhood in the Ullern borough of Oslo, Norway, known for its proximity to the Oslofjord and mix of housing and green areas.
  • 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: Slichter
Triple: [Charles P. Slichter, familyName, Slichter]
Generated description
Slichter is a surname most notably associated with American physicist Charles P. Slichter, renowned for his pioneering work in nuclear magnetic resonance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slichter
Target entity description: Slichter is a surname most notably associated with American physicist Charles P. Slichter, renowned for his pioneering work in nuclear magnetic resonance.
  • A. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • B. Gerlach
    Gerlach is a small, remote community in northwestern Nevada best known as the gateway to the Black Rock Desert and the annual Burning Man festival.
  • C. Gerlach
    Gerlach is the highest peak in the High Tatras and in Slovakia, renowned as the tallest summit in the entire Carpathian mountain range.
  • D. Lindemann
    Lindemann is a German surname most notably associated with Ferdinand von Lindemann, the mathematician who proved that π is a transcendental number.
  • E. Sollerud
    Sollerud is a residential neighborhood in the Ullern borough of Oslo, Norway, known for its proximity to the Oslofjord and mix of housing and green areas.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24dbf288190b8dfea455148841b completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8110b6ffc819080f65c590f6ac156 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c811c9c5e48190a610d890780c7aa4 completed March 28, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69c8128e49948190822787e76b1663a6 completed March 28, 2026, 5:40 p.m.
Created at: March 27, 2026, 3:10 p.m.