Triple

T7296434
Position Surface form Disambiguated ID Type / Status
Subject Archie E164532 entity
Predicate developer P73 FINISHED
Object Alan Emtage E30300 NE FINISHED

How this triple was built (2 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: Alan Emtage | Statement: [Archie, developer, Alan Emtage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Emtage
Context triple: [Archie, developer, Alan Emtage]
  • A. Alan Emtage chosen
    Alan Emtage is a computer scientist best known for creating Archie, the first widely used Internet search engine, which laid foundational groundwork for modern web search.
  • B. Leonard Bosack
    Leonard Bosack is an American computer engineer and entrepreneur best known as the co-founder of Cisco Systems, a pioneering company in computer networking and internet infrastructure.
  • C. Allan Kayser
    Allan Kayser is an American actor best known for playing Bubba Higgins on the sitcom "Mama’s Family."
  • D. Jack Schwartz
    Jack Schwartz was an American mathematician and computer scientist known for his contributions to programming languages, parallel computing, and the development of the SETL language.
  • E. Pat Proft
    Pat Proft is an American comedy writer and screenwriter best known for his work on spoof film franchises such as The Naked Gun and Police Academy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8e48d48190ada4d507f3b61bc4 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e547c7b88190b792495efb3a215c completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3 p.m.