Triple

T3363965
Position Surface form Disambiguated ID Type / Status
Subject AIEE Lamme Medal E70789 entity
Predicate namedAfter P63 FINISHED
Object Lamme
Lamme was an influential figure in electrical engineering whose legacy is honored by the AIEE Lamme Medal.
 E351321 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: Lamme | Statement: [AIEE Lamme Medal, namedAfter, Lamme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lamme
Context triple: [AIEE Lamme Medal, namedAfter, Lamme]
  • A. Liskamm
    Liskamm is a prominent and notoriously corniced mountain in the Pennine Alps on the Swiss–Italian border, known for its sharp ridges and challenging climbing conditions.
  • B. Liotta
    Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
  • C. Ormur
    Ormur is a lesser-known Eastern Iranian language spoken primarily by the Ormur people in parts of Afghanistan and Pakistan.
  • D. Lutjegast
    Lutjegast is a small village in the province of Groningen in the Netherlands, best known as the birthplace of the 17th-century Dutch explorer Abel Tasman.
  • E. Orma
    Orma is a major dialect of the Oromo language spoken primarily by the Orma people of Kenya.
  • 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: Lamme
Triple: [AIEE Lamme Medal, namedAfter, Lamme]
Generated description
Lamme was an influential figure in electrical engineering whose legacy is honored by the AIEE Lamme Medal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lamme
Target entity description: Lamme was an influential figure in electrical engineering whose legacy is honored by the AIEE Lamme Medal.
  • A. Liskamm
    Liskamm is a prominent and notoriously corniced mountain in the Pennine Alps on the Swiss–Italian border, known for its sharp ridges and challenging climbing conditions.
  • B. Liotta
    Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
  • C. Ormur
    Ormur is a lesser-known Eastern Iranian language spoken primarily by the Ormur people in parts of Afghanistan and Pakistan.
  • D. Lutjegast
    Lutjegast is a small village in the province of Groningen in the Netherlands, best known as the birthplace of the 17th-century Dutch explorer Abel Tasman.
  • E. Orma
    Orma is a major dialect of the Oromo language spoken primarily by the Orma people of Kenya.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb28467b88190bdf70b851bc8efa9 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32549eb9c81908c3a525da9eab0aa completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b325aecee081908109928766283c9a completed March 12, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_69b326175b38819083f1e62be7e01c8a completed March 12, 2026, 8:46 p.m.
Created at: March 8, 2026, 3:13 p.m.