Triple

T3414361
Position Surface form Disambiguated ID Type / Status
Subject SIGCOMM Award E71972 entity
Predicate notableRecipient P108 FINISHED
Object Jon Postel E22773 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: Jon Postel | Statement: [SIGCOMM Award, notableRecipient, Jon Postel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Postel
Context triple: [SIGCOMM Award, notableRecipient, Jon Postel]
  • A. Jon Postel chosen
    Jon Postel was an American computer scientist and early Internet pioneer best known for overseeing key Internet protocols and numbering systems, helping shape the modern Internet’s technical foundations.
  • B. Jess Rosenthal
    Jess Rosenthal is a television producer best known for his executive production work on the hit mystery-comedy series "Only Murders in the Building."
  • C. Jeff Jarvis
    Jeff Jarvis is an American journalist, media critic, and professor known for his work on digital media, journalism innovation, and the future of news.
  • D. Kurt Eichenwald
    Kurt Eichenwald is an American journalist and author known for his investigative reporting and nonfiction books on corporate crime and financial scandals.
  • E. André Schiffrin
    André Schiffrin was a prominent French-American publisher and intellectual known for his influential leadership at Pantheon Books and his critiques of corporate control in the publishing industry.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb927e8d081908a5ab283da93beb2 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34be16dd48190a51f4e13a6a13a4f completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:15 p.m.