Triple

T4443750
Position Surface form Disambiguated ID Type / Status
Subject Erlang E96230 entity
Predicate designedBy P184 FINISHED
Object Joe Armstrong
Joe Armstrong was a Swedish computer scientist and engineer best known as one of the creators of the Erlang programming language for building scalable, fault-tolerant systems.
E440677 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: Joe Armstrong | Statement: [Erlang, designedBy, Joe Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Armstrong
Context triple: [Erlang, designedBy, Joe Armstrong]
  • A. Joe Armstrong
    Joe Armstrong is an English actor best known for his role as Allan A Dale in the BBC television series "Robin Hood" (2006).
  • B. Allan Kayser
    Allan Kayser is an American actor best known for playing Bubba Higgins on the sitcom "Mama’s Family."
  • C. John Simon Ritchie
    John Simon Ritchie, better known as Sid Vicious, was the bassist of the pioneering English punk rock band the Sex Pistols and an icon of the 1970s punk movement.
  • D. Richard Hamlett
    Richard Hamlett is an American real estate developer best known for his marriage to actress and singer Debbie Reynolds.
  • E. John Vincent
    John Vincent was a British Army officer who played a key leadership role in the War of 1812, particularly in campaigns on the Niagara frontier.
  • 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: Joe Armstrong
Triple: [Erlang, designedBy, Joe Armstrong]
Generated description
Joe Armstrong was a Swedish computer scientist and engineer best known as one of the creators of the Erlang programming language for building scalable, fault-tolerant systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joe Armstrong
Target entity description: Joe Armstrong was a Swedish computer scientist and engineer best known as one of the creators of the Erlang programming language for building scalable, fault-tolerant systems.
  • A. Joe Armstrong
    Joe Armstrong is an English actor best known for his role as Allan A Dale in the BBC television series "Robin Hood" (2006).
  • B. Allan Kayser
    Allan Kayser is an American actor best known for playing Bubba Higgins on the sitcom "Mama’s Family."
  • C. John Simon Ritchie
    John Simon Ritchie, better known as Sid Vicious, was the bassist of the pioneering English punk rock band the Sex Pistols and an icon of the 1970s punk movement.
  • D. Richard Hamlett
    Richard Hamlett is an American real estate developer best known for his marriage to actress and singer Debbie Reynolds.
  • E. John Vincent
    John Vincent was a British Army officer who played a key leadership role in the War of 1812, particularly in campaigns on the Niagara frontier.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355b052688190a0d8e5912f82151c completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61382d00481908b7c84f337b5cad7 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b6177d1a588190991fddf506239d22 completed March 15, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b61b6bc1448190b30d444a821bb1a5 completed March 15, 2026, 2:37 a.m.
Created at: March 12, 2026, 11:32 p.m.