Triple

T21322809
Position Surface form Disambiguated ID Type / Status
Subject Arden L. Bement Jr. E525663 entity
Predicate familyName P18 FINISHED
Object Bement
Bement is a surname most notably associated with Arden L. Bement Jr., an American engineer and former director of the National Science Foundation.
 E1478073 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: Bement | Statement: [Arden L. Bement Jr., familyName, Bement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bement
Context triple: [Arden L. Bement Jr., familyName, Bement]
  • A. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • B. Easterbrook
    Easterbrook is a surname most notably associated with American actress Leslie Easterbrook, known for her roles in the "Police Academy" film series and various television shows.
  • C. Bigham
    Bigham is an English surname historically associated with British nobility, including the Viscounts Mersey.
  • D. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • E. Tilghman
    Tilghman is a surname most notably associated with Shirley M. Tilghman, a prominent molecular biologist and former president of Princeton University.
  • 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: Bement
Triple: [Arden L. Bement Jr., familyName, Bement]
Generated description
Bement is a surname most notably associated with Arden L. Bement Jr., an American engineer and former director of the National Science Foundation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bement
Target entity description: Bement is a surname most notably associated with Arden L. Bement Jr., an American engineer and former director of the National Science Foundation.
  • A. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • B. Easterbrook
    Easterbrook is a surname most notably associated with American actress Leslie Easterbrook, known for her roles in the "Police Academy" film series and various television shows.
  • C. Bigham
    Bigham is an English surname historically associated with British nobility, including the Viscounts Mersey.
  • D. Tilghman
    Tilghman is a surname most notably associated with Shirley M. Tilghman, a prominent molecular biologist and former president of Princeton University.
  • E. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed355cc8190a305c1c48117fb9e completed April 21, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a099ee48a0881909edd40cde83d10c5 completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099fa8142c819090f4521e39157cf0 completed May 17, 2026, 10:59 a.m.
NED2 Entity disambiguation (via description) batch_6a09a0b6374c8190bfea2d9a3c02a69b completed May 17, 2026, 11:04 a.m.
Created at: April 16, 2026, 4:40 p.m.