Triple

T10656958
Position Surface form Disambiguated ID Type / Status
Subject Margaret C. Etter E251114 entity
Predicate familyName P18 FINISHED
Object Etter
Etter is a surname most notably associated with Margaret C. Etter, an American crystallographer recognized for her influential work in hydrogen bonding and crystal engineering.
 E877784 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: Etter | Statement: [Margaret C. Etter, familyName, Etter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Etter
Context triple: [Margaret C. Etter, familyName, Etter]
  • A. Etten
    Etten is a village in the Netherlands known as one of the early places where Vincent van Gogh lived and worked.
  • B. Annett
    Annett is a given name, typically a variant of Annette, used for females in various European countries.
  • C. Hetta
    Hetta is a central, intelligent and strong-willed female character in Anthony Trollope’s novel "The Way We Live Now."
  • D. Eller
    Eller is a surname of German origin borne by various notable individuals across different fields.
  • E. Átta
    Átta is a studio album by Icelandic post-rock band Sigur Rós, known for its ethereal soundscapes and atmospheric, orchestral arrangements.
  • 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: Etter
Triple: [Margaret C. Etter, familyName, Etter]
Generated description
Etter is a surname most notably associated with Margaret C. Etter, an American crystallographer recognized for her influential work in hydrogen bonding and crystal engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Etter
Target entity description: Etter is a surname most notably associated with Margaret C. Etter, an American crystallographer recognized for her influential work in hydrogen bonding and crystal engineering.
  • A. Etten
    Etten is a village in the Netherlands known as one of the early places where Vincent van Gogh lived and worked.
  • B. Annett
    Annett is a given name, typically a variant of Annette, used for females in various European countries.
  • C. Hetta
    Hetta is a central, intelligent and strong-willed female character in Anthony Trollope’s novel "The Way We Live Now."
  • D. Eller
    Eller is a surname of German origin borne by various notable individuals across different fields.
  • E. Átta
    Átta is a studio album by Icelandic post-rock band Sigur Rós, known for its ethereal soundscapes and atmospheric, orchestral arrangements.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e0157dbc81909ef7d61f65b2fd93 completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a7aa490819094c7eaf3fc5e2c43 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97ef6d9a881909d688cb8c948f491 completed April 10, 2026, 10:51 p.m.
NED2 Entity disambiguation (via description) batch_69d97f700f188190808fcf2f14403980 completed April 10, 2026, 10:53 p.m.
Created at: April 8, 2026, 9:07 p.m.