Triple

T3395673
Position Surface form Disambiguated ID Type / Status
Subject Federal Reporter E71521 entity
Predicate citationStyle P4468 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: [Federal Reporter, citationStyle, Bluebook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bluebook
Context triple: [Federal Reporter, citationStyle, 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb856158c81908dd7d3f1f8d6af74 completed March 8, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35464d9a88190aec3a7597cecff21 completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:14 p.m.