Triple

T7518481
Position Surface form Disambiguated ID Type / Status
Subject Oren Patashnik E177704 entity
Predicate notableWork P4 FINISHED
Object BibTeX E157419 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: BibTeX | Statement: [Oren Patashnik, notableWork, BibTeX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BibTeX
Context triple: [Oren Patashnik, notableWork, BibTeX]
  • A. BibTeX chosen
    BibTeX is a tool and file format used with LaTeX to manage and format bibliographic references in scholarly documents.
  • B. BibLaTeX
    BibLaTeX is a modern LaTeX package for advanced bibliography and citation management, offering greater flexibility and localization features than traditional BibTeX.
  • C. BCite
    BCite is a legal citation and research service that competes with KeyCite by providing tools to track the history, treatment, and validity of legal authorities.
  • D. EndNote
    EndNote is a reference management software tool used by researchers and students to organize bibliographies, manage citations, and streamline the writing and publishing process.
  • E. RefWorks
    RefWorks is a web-based reference management tool that helps researchers collect, organize, and format citations and bibliographies in various academic styles.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f850c081909e697219071293fc completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8462610b481909fa74023852b0154 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:46 p.m.