Triple

T1885879
Position Surface form Disambiguated ID Type / Status
Subject Maria Goeppert Mayer E39962 entity
Predicate familyName P18 FINISHED
Object Goeppert
Goeppert is the maiden surname of Maria Goeppert Mayer, the German-American physicist and Nobel laureate known for her work on the nuclear shell model.
 E209979 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: Goeppert | Statement: [Maria Goeppert Mayer, familyName, Goeppert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goeppert
Context triple: [Maria Goeppert Mayer, familyName, Goeppert]
  • A. 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.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Guralnik
    Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
  • D. Bethe
    Bethe is a surname most notably associated with Hans Bethe, the Nobel Prize–winning physicist who made foundational contributions to nuclear astrophysics and quantum mechanics.
  • E. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • 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: Goeppert
Triple: [Maria Goeppert Mayer, familyName, Goeppert]
Generated description
Goeppert is the maiden surname of Maria Goeppert Mayer, the German-American physicist and Nobel laureate known for her work on the nuclear shell model.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goeppert
Target entity description: Goeppert is the maiden surname of Maria Goeppert Mayer, the German-American physicist and Nobel laureate known for her work on the nuclear shell model.
  • A. 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.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Guralnik
    Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
  • D. Bethe
    Bethe is a surname most notably associated with Hans Bethe, the Nobel Prize–winning physicist who made foundational contributions to nuclear astrophysics and quantum mechanics.
  • E. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb12032c881909cd93e3601906f48 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf63863881908efd8010db14b8a8 completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69ade06eb0608190992291b9a0d5368c completed March 8, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69ade0d3f77481909cb4c9a57a9fb6a7 completed March 8, 2026, 8:49 p.m.
Created at: March 4, 2026, 7:34 p.m.