Triple
T3550645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LexisNexis |
E75102
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | LexisNexis Public Records |
E75102
|
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: LexisNexis Public Records | Statement: [LexisNexis, product, LexisNexis Public Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LexisNexis Public Records Context triple: [LexisNexis, product, LexisNexis Public Records]
-
A.
LexisNexis
chosen
LexisNexis is a major legal research and information services provider offering extensive databases of case law, statutes, news, and business information to legal and professional users worldwide.
-
B.
Westlaw
Westlaw is a comprehensive online legal research service and database widely used by lawyers, judges, and scholars to access case law, statutes, regulations, and secondary legal materials.
-
C.
Bloomberg Law
Bloomberg Law is a comprehensive legal research and business intelligence platform that provides access to case law, statutes, regulations, dockets, news, and analytical tools for legal professionals.
-
D.
EDGAR
EDGAR is the U.S. Securities and Exchange Commission’s electronic filing system that provides public access to corporate financial and disclosure documents.
-
E.
Factiva
Factiva is a global news and business information database that aggregates content from thousands of newspapers, journals, and other sources for research and analysis.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd52f44819088e07139fe987e2a |
completed | March 8, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38be9335c81909ba546a079134c8f |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.