Triple
T1534764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown & Williamson |
E32524
|
entity |
| Predicate | documentLeak |
P29566
|
FINISHED |
| Object | internal research and legal documents made public in the 1990s |
—
|
LITERAL 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: internal research and legal documents made public in the 1990s | Statement: [Brown & Williamson, documentLeak, internal research and legal documents made public in the 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentLeak Context triple: [Brown & Williamson, documentLeak, internal research and legal documents made public in the 1990s]
-
A.
documentedBy
Indicates that something is recorded, described, or evidenced in a specific document or set of documents.
-
B.
documentNumber
Indicates the unique identifying number assigned to a specific document in the relationship.
-
C.
documentModel
Indicates that an entity serves as or is associated with a specific structured representation or schema of a document.
-
D.
usedDocument
Indicates that one entity has employed, referenced, or otherwise made use of a particular document in performing an action or fulfilling a purpose.
-
E.
linkedDocument
Indicates that one document is associated with or references another document in a meaningful way.
- F. None of above. chosen
Provenance (4 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a915f323bc8190aa757142c225e0ae |
completed | March 5, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69a907b046448190be8ea4d7b20255f7 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a915f1694081908f87b509eda1309f |
completed | March 5, 2026, 5:34 a.m. |
Created at: March 4, 2026, 7:26 p.m.