Triple

T9025699
Position Surface form Disambiguated ID Type / Status
Subject xterm E216041 entity
Predicate maintainer P2962 FINISHED
Object Thomas E. Dickey E773890 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: Thomas E. Dickey | Statement: [xterm, maintainer, Thomas E. Dickey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas E. Dickey
Context triple: [xterm, maintainer, Thomas E. Dickey]
  • A. Thomas E. Dickey chosen
    Thomas E. Dickey is an American software developer best known for maintaining and enhancing the xterm terminal emulator and contributing extensively to Unix and open-source tools.
  • B. Patrick Volkerding
    Patrick Volkerding is an American software engineer best known as the founder and long-time maintainer of the Slackware Linux distribution, one of the oldest surviving Linux distros.
  • C. Daniel Ralls
    Daniel Ralls was an early 19th-century Missouri legislator and local political figure after whom Ralls County, Missouri, is named.
  • D. Bruce Davey
    Bruce Davey is an Australian film producer best known for his long-time collaboration with Mel Gibson and for co-founding the production company Icon Productions.
  • E. L. Peter Deutsch
    L. Peter Deutsch is a computer scientist and software developer best known for creating the Ghostscript interpreter for the PostScript language and PDF files.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a7ce71c81908041814dc9ec1713 completed April 1, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb7a95a88190a41ba5549f2b2d5a completed April 3, 2026, 4:31 p.m.
Created at: March 30, 2026, 7:07 p.m.