Triple
T28692819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randall Stephens |
E729331
|
entity |
| Predicate | hasLegalIdentity |
P180618
|
FINISHED |
| Object | forged documents |
—
|
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: forged documents | Statement: [Randall Stephens, hasLegalIdentity, forged documents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalIdentity Context triple: [Randall Stephens, hasLegalIdentity, forged documents]
-
A.
hasIdentityDocument
Indicates that an entity possesses or is associated with a specific identity document.
-
B.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
C.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
-
D.
hasLegalCapacity
Indicates that an entity possesses the legal authority and competence to perform actions or enter into obligations that are recognized and enforceable under the law.
-
E.
hasNationalIdentity
Indicates that an entity possesses or is associated with a particular national identity or nationality.
- 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_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 28, 2026, 5:37 a.m.