Triple

T15084131
Position Surface form Disambiguated ID Type / Status
Subject Mabel Meinzer Beckman E360225 entity
Predicate hasFamilyName P18 FINISHED
Object Beckman
Beckman is a German-origin surname borne by various notable individuals across fields such as science, business, and the arts.
 E1137103 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: Beckman | Statement: [Mabel Meinzer Beckman, hasFamilyName, Beckman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beckman
Context triple: [Mabel Meinzer Beckman, hasFamilyName, Beckman]
  • A. Beckman Instruments
    Beckman Instruments was an American scientific instruments company known for pioneering analytical and laboratory equipment used in chemistry, biology, and electronics research.
  • B. Beckmann
    Beckmann is a German surname most famously associated with the Expressionist painter Max Beckmann.
  • C. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • D. Abbott
    Abbott is a masculine given name of English origin, historically associated with clerical or religious roles.
  • E. Abbott
    Abbott is a common English surname borne by numerous notable individuals across fields such as politics, entertainment, science, and business.
  • 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: Beckman
Triple: [Mabel Meinzer Beckman, hasFamilyName, Beckman]
Generated description
Beckman is a German-origin surname borne by various notable individuals across fields such as science, business, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beckman
Target entity description: Beckman is a German-origin surname borne by various notable individuals across fields such as science, business, and the arts.
  • A. Beckman Instruments
    Beckman Instruments was an American scientific instruments company known for pioneering analytical and laboratory equipment used in chemistry, biology, and electronics research.
  • B. Beckmann
    Beckmann is a German surname most famously associated with the Expressionist painter Max Beckmann.
  • C. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • D. Abbott
    Abbott is a masculine given name of English origin, historically associated with clerical or religious roles.
  • E. Abbott
    Abbott is a common English surname borne by numerous notable individuals across fields such as politics, entertainment, science, and business.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00275cfa88190a13fe20b585d9fcb completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae179a24819097019976707c93e1 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb074bc9c8190a080bb57bb1844be completed May 9, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69feb0c2af8081909e845bb8c9f9cdc7 completed May 9, 2026, 3:57 a.m.
Created at: April 10, 2026, 3:03 a.m.