Triple

T14975768
Position Surface form Disambiguated ID Type / Status
Subject D. Nev. E373441 entity
Predicate legalCitationContext P49399 FINISHED
Object Bluebook E109776 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: Bluebook | Statement: [D. Nev., legalCitationContext, Bluebook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bluebook
Context triple: [D. Nev., legalCitationContext, Bluebook]
  • A. Bluebook legal citation chosen
    Bluebook legal citation is the dominant standardized system in the United States for citing legal authorities and sources in legal writing and scholarship.
  • B. The Redbook: A Manual on Legal Style
    The Redbook: A Manual on Legal Style is a widely used reference guide that provides detailed rules and guidance for clear, precise, and consistent legal writing and citation.
  • C. AMA Manual of Style
    The AMA Manual of Style is a widely used guide that sets standards for writing, editing, and publishing in medical and scientific journals.
  • D. 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.
  • E. The New York Times stylebook
    The New York Times stylebook is a widely used journalistic reference manual that sets detailed standards for grammar, usage, and formatting in news writing.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e8733081908e06b53746eb6eb6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8beac05c8190bf19ec8bd1eab2d8 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:51 a.m.