Triple
T20947814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelly Van Ryan |
E515896
|
entity |
| Predicate | sues |
P75312
|
FINISHED |
| Object | Sam Lombardo |
—
|
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: Sam Lombardo | Statement: [Kelly Van Ryan, sues, Sam Lombardo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sues Context triple: [Kelly Van Ryan, sues, Sam Lombardo]
-
A.
sued
chosen
Indicates that one party has initiated legal action or filed a lawsuit against another party in a court of law.
-
B.
suit
Indicates that one entity is appropriate, fitting, or satisfactory for another entity or a particular purpose or situation.
-
C.
plea
Indicates that a defendant formally states their response (such as guilty, not guilty, or no contest) to criminal charges in a legal proceeding.
-
D.
suyu
Indicates a relationship where one entity is a liquid or fluid form of another, or is characterized by being watery or liquid-like.
-
E.
is
Indicates that two entities are equivalent, share an attribute, or stand in a specified state or relation to each other.
- F. None of above.
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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fadab7708190bb3a10bdd3f32d90 |
completed | April 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:58 p.m.