Triple
T31616835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan Lyman |
E806779
|
entity |
| Predicate | hasFictionalSecurityDetail |
P197328
|
FINISHED |
| Object | United States Secret Service |
—
|
NE NERFINISHED |
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: United States Secret Service | Statement: [Jordan Lyman, hasFictionalSecurityDetail, United States Secret Service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalSecurityDetail Context triple: [Jordan Lyman, hasFictionalSecurityDetail, United States Secret Service]
-
A.
hasFictionalSpy
Indicates that an entity includes, features, or is associated with a fictional spy character.
-
B.
fictionalSecurityLevel
Indicates the degree or category of security status assigned within a fictional or imagined context.
-
C.
hasFictionalProperty
Indicates that an entity possesses a property, attribute, or characteristic that exists only in a fictional or imaginary context.
-
D.
hasFictionalContent
Indicates that something contains or includes material that is imaginary, invented, or not intended to represent real events or facts.
-
E.
hasFictionalDocument
Indicates that one entity possesses, is associated with, or includes a document that is fictional or exists only within an imagined or narrative context.
- 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_69f348d61f2081908cad94bc9ffbb671 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe87b609888190913b0c3f787ecdba |
completed | May 9, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69fe8731af48819092084f6f74bf052d |
completed | May 9, 2026, 1 a.m. |
| PDg | Predicate description generation | batch_69fe87b52bd4819087d6d338fe47c97c |
completed | May 9, 2026, 1:02 a.m. |
Created at: April 30, 2026, 10:39 p.m.