Triple

T36049
Position Surface form Disambiguated ID Type / Status
Subject Margaret Carnegie Miller E714 entity
Predicate familyName P18 FINISHED
Object Miller
Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
 E5201 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: Miller | Statement: [Margaret Carnegie Miller, familyName, Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miller
Context triple: [Margaret Carnegie Miller, familyName, Miller]
  • A. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • B. Moore
    Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
  • C. Mark
    Mark is the given name of Mark Zuckerberg, the American technology entrepreneur and co-founder of Facebook.
  • D. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • E. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • 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: Miller
Triple: [Margaret Carnegie Miller, familyName, Miller]
Generated description
Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miller
Target entity description: Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
  • A. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • B. Moore
    Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
  • C. Mark
    Mark is the given name of Mark Zuckerberg, the American technology entrepreneur and co-founder of Facebook.
  • D. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • E. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24aca5ed481908d1aa2ca656f25ea completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a255322d048190b3a45c6c6a80230c completed Feb. 28, 2026, 2:38 a.m.
NEDg Description generation batch_69a255ee9c1c8190a9d1db89af34fbaf completed Feb. 28, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69a256a35c3081908aa5522c734bd54d completed Feb. 28, 2026, 2:44 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.